RichardPrice

Thanks for the typo correction re. Dropbox - fixed.

It's harder than you are suggesting to find a leading indicator of future engagement. You want to find a metric that is relatively foundational, and is going to produce engagement across a variety of dimensions later on (visit frequency, tendency to pay, tendency to add content, tendency to invite others etc).

For instance, when signing up to Facebook, there is a bunch of stuff they want you to do: add friends, invite people, add content like photos, and come back on day 1, day 2, and so on. It turns out that it's the first activity that is more predictive of future engagement than the others, and specifically 7 friends in 10 days is an important threshold. You can't figure that out from your intuition alone, and you definitely can't get the values of # of friends in # of days just by consulting your intuition, or your sense of what's obvious.

At the same time Chamath from Facebook was keen to point out that there was nothing mystical about what the growth team at Facebook did. He said the best way of describing what they did on the growth team is that they:

- Measured things

- Tested things

- Tried things

His main take-away was that one should be extremely rigorous and analytical when thinking about what drives engagement, and not rely on your gut, or company lore.

It would actually be good to be able to get leading indicators of enraged users too!

Thanks for these ideas. We host whatever version the user uploads; sometimes that is a .doc or latex file, but mostly it's a pdf.

Thanks for your perspective on data-sharing - interesting ideas.

Many people think that science is too closed, and too slow. We are trying to change that. There are 4 things we are trying to achieve with Academia.edu - ways in which we are trying to re-shape and accelerate science:

- Instant distribution. Right now there is a 12 month time-lag between submitting a paper to a journal, and the paper being published. We need to remove that time-lag and introduce instant distribution of scientific ideas.

- Multi-media. Right now, scientists only share papers in PDF form. We need to bring about a science where scientists are incentivized to share data-sets, code, videos, blog posts, and comments on all these media. Right now 50% or more of the world’s scientific output does not get shared, because the system of credibility metrics only rewards one kind of format, the paper. We need to change this.

- Open access. We need to bring about a world where a villager in India has the same access to the world’s scientific output as a professor in Harvard. When you open up access to the world’s scientific literature to 2 billion people, magical things may happen.

- Better peer review. Right now the peer review process takes 12 months to complete, and only surfaces the opinions of two academics - academics who may be biased, uninformed about the subject area, or just in a bad mood when writing the review. 2 people is too small a sample size. We need a faster and more robust peer review system, one that surfaces the opinions of the entire scientific community, across a variety of dimensions, and in real-time.

There are a couple of themes that connect these four goals. One theme is that increasingly scientists are wanting to have a direct relationship with their audience, as well as analytics that reflect how that relationship is developing. Previously the scientific journal would mediate the relationship between the scientist and his/her audience. This is starting to change, and it's reflective of broader changes on the web, as sites like Twitter and Facebook allow people to have more direct, unmediated, connections with their audience.

The second theme that connects these points is credibility metrics. The behavior of scientists is driven by the need to build credibility metrics, ones that reflect well on the scientist and his/her work when they are applying for a grant or a job. New reputation and credibility metrics are starting to emerge in science that incentivize things like instant distribution, or the sharing of data-sets, or open access sharing. I think the emergence of these new credibility metrics (citation counts from Google Scholar, usage metrics such as download counts from Academia.edu) are going to have a big impact on the rate at which science evolves.

It's an exciting time for science. Science is transitioning from a 17th century way of sharing ideas (sending papers around the world with 12 month time-lags in every iteration) to a much faster system of sharing ideas on the web.

If this mission sounds exciting to you, I would love to hear from you at richard [at] academia.edu. We are looking to hire engineers to join our team, and more generally I love chatting to people who are excited about trying to make science faster, and more open.

See http://www.quora.com/How-did-Academia.edu-get-the-.edu-domai...

San Francisco, CA. Full time. Remote is fine too.

Academia.edu is a social platform for academics to share research papers. The company's mission is to accelerate the world's research.

We believe that science is dysfunctional, and we are working on fixing it. Almost every innovation in medicine and technology in the world has its roots in a science paper. If we want to speed up the world, we need to speed up science.

There are many inefficiencies in science:

* it's too slow (there is a 12 month time-lag between submitting a paper to a journal and it being published)

* all the world's research ends up behind extraordinarily expensive paywalls, even though it was authored and peer-reviewed for free by the scientific community

* it hasn't moved out of PDF-land yet (scientists haven't been provided with the incentives to share things like data-sets, code, videos, and other kinds of rich media).

We are working on fixing this. We dream of a world where research is shared instantly, as soon as it's finished; where scientists share their full scientific output (data-sets, code, videos, and comments on all this media), and not just papers; and where a villager in India has as much access to the world's scientific output as a professor at Harvard.

We need talented and passionate engineers to help us accomplish this mission. We have made a good start: 1.8 million academics have joined Academia.edu, and 3,500 join each day. But there is much more to do.

We're a 10 person, engineering-driven, team based in downtown San Francisco. The site is in Rails, and other technologies we use include PostgreSQL, Redis, Varnish, Solr, Memcached, Mongodb, Beanstalkd. We have raised $6.7 million from Spark Capital, True Ventures, Mark Shuttleworth (founder of Ubuntu), and others.

Familiarity with our technologies is a plus, but it's not essential. It's far more important that you are a quick learner who can pick up new technologies quickly. We are looking to hire a range of positions:

* full stack engineers

* growth engineer (optimizing our growth and retention channels)

* iOS engineer

There is more information about the company on our hiring page, at http://academia.edu/hiring. There is more on TechCrunch about our mission here http://tcrn.ch/T42VWC (The Future of Peer Review) and here http://tcrn.ch/R6Pgrr (The Future of Science)

We want to hire world class engineers. We want you to join us in building the future of science whether you are based in San Francisco, New York, Delhi, or Beijing. Remote work is fine. We will handle re-location, including visas, if you would like to re-locate, but re-location is not necessary.

If you are interested to learn more, please email Ryan Jordan at ryanj [at] academia.edu

San Francisco, CA. Full time. Remote is fine too.

Academia.edu is a social platform for academics to share research papers. The company's mission is to accelerate the world's research.

We believe that science is dysfunctional, and we are working on fixing it. Almost every innovation in medicine and technology in the world has its roots in a science paper. If we want to speed up the world, we need to speed up science. There are many inefficiencies in science:

* it's too slow (there is a 12 month time-lag between submitting a paper to a journal and it being published)

* all the world's research ends up behind extraordinarily expensive paywalls, even though it was authored and peer-reviewed for free by the scientific community

* it hasn't moved out of PDF-land yet (scientists haven't been provided with the incentives to share things like data-sets, code, videos, and other kinds of rich media).

We are working on fixing this. We dream of a world where research is shared instantly, as soon as it's finished; where scientists share their full scientific output (data-sets, code, videos, and comments on all this media), and not just papers; and where a villager in India has as much access to the world's scientific output as a professor at Harvard.

We need talented and passionate engineers to help us accomplish this mission. We have made a good start: 1.8 million academics have joined Academia.edu, and 3,500 join each day. But there is much more to do.

We're a 10 person, engineering-driven, team based in downtown San Francisco. The site is in Rails, and other technologies we use include PostgreSQL, Redis, Varnish, Solr, Memcached, Mongodb, Beanstalkd. We have raised $6.7 million from Spark Capital, True Ventures, Mark Shuttleworth (founder of Ubuntu), and others.

Familiarity with our technologies is a plus, but it's not essential. It's far more important that you are a quick learner who can pick up new technologies quickly. We are looking to hire a range of positions:

* full stack engineers

* growth engineer (optimizing our growth and retention channels)

* iOS engineer

There is more information about the company on our hiring page, at http://academia.edu/hiring. There is more on TechCrunch about our mission here http://tcrn.ch/T42VWC (The Future of Peer Review) and here http://tcrn.ch/R6Pgrr (The Future of Science)

We want to hire world class engineers. We want you to join us in building the future of science whether you are based in San Francisco, New York, Delhi, or Beijing. Remote work is fine. We will handle re-location, including visas, if you would like to re-locate, but re-location is not necessary.

If you are interested to learn more, please email Ryan Jordan at ryanj [at] academia.edu

There are a number of sites that have historically shown simple counters for downloads etc, and Mendeley is one of them, but Academia.edu has led the way in terms of building a powerful analytics product that shows analytics for a scientist's research at a relatively deep level - traffic by country, search engine, and a variety of other dimensions.

Mendeley's Institutional Edition is completely different. It's an analytics tool for libraries, not for individual scientists.

The metrics are just for papers uploaded to Academia.edu (as stated in my previous commment). I think real time metrics will come to other research sharing platforms. Academia.edu is leading the way here.

I would question your assumption that academics have not heard of Academia.edu. 1.7 million academics have signed up, and around 3,500 join each day. It's one of the largest research sharing platforms on the web, with more than ten times the traffic of, say, ArXiv.

We are working on an API, to allow developers to hook into our academic graph. We've thought about the use-case you are talking about, and may well try to handle it.

The analytics track the impact of papers that you have uploaded to Academia.edu. More and more scientists are aware that they want a profile where they can easily share their work, and which celebrates them as a scientist. Academia.edu helps scientists create that online presence. The dashboard is about helping you quantify the impact of that online presence.

Historically one has had to wait 3-5 years for citation metrics to start trickling through for a given paper you have published. The metrics on this dashboard are real-time. You can upload a paper to Academia.edu, and see 24 hours later that you have 100 views. As scientists get used to knowing the real time metrics around their research, they will never go back. Real-time metrics around distribution will be, from this point onwards, a permanent feature of the scientific process.

Currently the Dashboard tracks pageviews of your papers, broken down into various dimensions - by traffic source, by country etc. It also shows search engine keywords that drive traffic to your page/papers.

The key thing here is that if you ask a Harvard professor, with, say, 200 publications, how many downloads she got in the last 30 days, typically she will have no idea. The web is where most scientific research is being read and consumed, but scientists don't have easy ways of tracking metrics around their online influence. This dashboard is trying to change that.

The dashboard been in beta for a few months, and many users have written in saying that they are taking screenshots of the graphs, and are including them with their tenure track applications. Hiring and grant committees are increasingly keen to understand the broad impact of research they fund, ideally through a variety of different metrics: journal titles (which journal you got published in), citation counts, and now, increasingly, metrics that measure online influence, such as downloads. Something that surprised us a little was that it turns out that hiring and grant committees are increasingly interested in 'international reach'; i.e. they want to know that the research they fund as impact beyond the immediate region of the researcher. The dashboard helps a researcher to understand how international their audience is.

Previously a scientist only had an anecdotal of their audience: they would bump into people at a conference, and someone might say 'I read your paper', and them saying that produces a very warm glow (I have been there myself!). This dashboard is about putting numbers on your audience and reach, showing you which are your most popular papers. Some of our beta users also mentioned that the analytics are motivational: more people are interested in their work than they thought.

San Francisco, CA. Full time.

Academia.edu is a platform for academics to share research papers. The company's mission is to accelerate the world's research.

It's widely held that science is too closed, and too slow. We are trying to change that. We believe that faster sharing of research will lead to an acceleration in research innovation: faster innovation in medicine, biology, engineering, economics, and other fields. Faster sharing in biology and medicine, for example, could lead to cancer being solved 12 months before it otherwise would have been, which would lead to millions of lives being saved.

Academia.edu has over 1.5 million registered users, and over 3.5 million monthly unique visitors. Both of these metrics tripled in 2011. Over 4,500 papers are added to the platform each day, and over 3,500 academics join each day.

We need talented engineers to help us accelerate the world's research. We believe that science is currently dysfunctional, and that there is a chance to make a big impact.

We just raised $4.5 million from Spark Capital and True Ventures http://news.ycombinator.com/item?id=3297812. Some of our angel investors include Mark Shuttleworth (founder of Ubuntu) and Rupert Pennant-Rea (Chairman of The Economist).

We have a strong engineering culture. We're a 10 person team based in downtown San Francisco. The site is Rails, and other technologies we use include PostgreSQL, Redis, Varnish, Solr, Memcached, Mongodb, Beanstalkd.

Familiarity with our technologies is a plus, but it's not essential. It's far more important that you are a quick learner who can pick up new technologies quickly. There is more information about the company on our hiring page, at http://academia.edu/hiring.

The kinds of things you would be working on include:

* building an API for Academia.edu, to allow developers to hook into our academic graph

* building a great News Feed for all the research you want to follow

* building a world class Analytics product giving scientists real-time metrics about the impact of their work

* building infrastructure to make the site extremely fast and stable

What we're looking for are:

* Web development experience (building apps on your own is great)

* Experience with the full engineering stack

* Passion for engineering and building great products

All the strategic decisions in the startup are made collaboratively, whether they are about hiring, new feature development, user growth, user retention, funding, or revenue. You can participate in those general startup decisions as much or as little as you want. We have found that our decisions are much better as a result of everyone contributing to them. If you like having an impact, you will enjoy the Academia.edu culture. There is more information here http://academia.edu/hiring.

H1B candidates are very welcome. We will take care of the visa process.

Some guest posts on TechCrunch about the problem that we are trying to solve, and our company's mission, are below:

http://techcrunch.com/2012/02/05/the-future-of-peer-review/

http://techcrunch.com/2012/04/29/the-future-of-science/

If you are interested to learn more, please email Ryan Jordan at ryanj [at] academia.edu

San Francisco, CA. Full time.

Academia.edu is a platform for academics to share research papers. The company's mission is to accelerate the world's research.

Almost every technological and medical innovation in the world has its roots in a scientific paper. Science drives much of the world’s innovation. The faster science moves, the faster the world moves.

It's widely held that science is too slow, and too closed. We are working on changing that, and re-inventing the way that scientists communicate. The stakes are high. If the inefficiencies in science can be removed, we may be able to accelerate science by a factor of 2, leading to a huge impact for humanity.

For more on the problem Academia.edu is solving, see the guest post on TechCrunch last Sunday on 'The Future of Science' by Academia.edu's founder, Richard Price http://techcrunch.com/2012/04/29/the-future-of-science/ Academia.edu has over 1.3 million registered users, and over 3.5 million monthly unique visitors. Both of these metrics tripled in 2011. Over 4,500 papers are added to the platform each day, and over 3,500 academics join each day.

We recently raised $4.5 million from Spark Capital and True Ventures http://news.ycombinator.com/item?id=3297812. Some of our angel investors include Mark Shuttleworth (founder of Ubuntu) and Rupert Pennant-Rea (Chairman of The Economist).

We need talented engineers to come and help us with the mission. We have a strong engineering culture. We're an 11 person team based in downtown San Francisco. The site is in Rails, and other technologies we use include PostgreSQL, Redis, Varnish, Solr, Memcached, Mongodb, Beanstalkd.

Familiarity with our technologies is a plus, but it's not essential. It's far more important that you are a quick learner who can pick up new technologies quickly. There is more information about the company on our hiring page, at http://academia.edu/hiring.

The kinds of things you would be working on include:

★ tools for scientists to share their work faster and more openly

★ algorithms to mine our data, and to find out what research is trending in real time

★ back-end infrastructure to scale the site on AWS

What we're looking for are:

☀ 2+ years of web development experience

☀ Experience with the full engineering stack

☀ Passion for engineering

All the strategic decisions in the startup are made collaboratively, whether they are about hiring, new feature development, user growth, user retention, funding, or revenue. You can participate in those general startup decisions as much or as little as you want. We have found that our decisions are much better as a result of everyone contributing to them. If you like having an impact, you will enjoy the Academia.edu culture.

There is more information here http://academia.edu/hiring. H1B candidates are very welcome. We will take care of the visa process.

If you are interested to learn more, please email Ryan Jordan at ryanj [at] academia.edu

From talking to the White House, I know that they are taking a great interest in this particular petition. They are looking to see how much public support there is for free public access to taxpayer-funded research. It is only with a public mandate that they will be able to push through open access legislation against the objections of the journal industry.

There is a very direct relationship between how much support this petition gets, and how willing the White House, and members of Congress, will be, in the short term, to push through open access legislation.

My understanding is that the White House really cares about petitions with backing from tens of thousands of people.

I have talked to many policy makers in D.C., and science funding agencies, and they need to know that the public wants access to taxpayer-funded research, if they are going to push that kind of legislation through Congress. They believe that this petition could provide the ooomph for the US government to start pushing for increased public access to taxpayer-funded research.

San Francisco, CA. Full time.

Academia.edu is a platform for academics to share research papers. The company's mission is to accelerate the world's research.

Almost every technological and medical innovation in the world has its roots in a scientific paper. Science drives much of the world’s innovation. The faster science moves, the faster the world moves.

It's widely held that science is too slow, and too closed. We are working on changing that, and re-inventing the way that scientists communicate. The stakes are high. If the inefficiencies in science can be removed, we may be able to accelerate science by a factor of 2, leading to a huge impact for humanity.

For more on the problem Academia.edu is solving, see the guest post on TechCrunch last Sunday on 'The Future of Science' by Academia.edu's founder, Richard Price http://techcrunch.com/2012/04/29/the-future-of-science/

Academia.edu has over 1.2 million registered users, and over 3.5 million monthly unique visitors. Both of these metrics tripled in 2011. Over 4,500 papers are added to the platform each day, and over 3,500 academics join each day.

We just raised $4.5 million from Spark Capital and True Ventures http://news.ycombinator.com/item?id=3297812. Some of our angel investors include Mark Shuttleworth (founder of Ubuntu) and Rupert Pennant-Rea (Chairman of The Economist).

We need talented engineers to come and help us with the mission. We have a strong engineering culture. We're an 11 person team based in downtown San Francisco. The site is in Rails, and other technologies we use include PostgreSQL, Redis, Varnish, Solr, Memcached, Mongodb, Beanstalkd.

Familiarity with our technologies is a plus, but it's not essential. It's far more important that you are a quick learner who can pick up new technologies quickly. There is more information about the company on our hiring page, at http://academia.edu/hiring.

The kinds of things you would be working on include:

★ tools for scientists to share their work faster and more openly

★ algorithms to mine our data, and to find out what research is trending in real time

★ back-end infrastructure to scale the site on AWS

What we're looking for are:

☀ 2+ years of web development experience

☀ Experience with the full engineering stack

☀ Passion for engineering

All the strategic decisions in the startup are made collaboratively, whether they are about hiring, new feature development, user growth, user retention, funding, or revenue. You can participate in those general startup decisions as much or as little as you want. We have found that our decisions are much better as a result of everyone contributing to them. If you like having an impact, you will enjoy the Academia.edu culture.

There is more information here http://academia.edu/hiring. H1B candidates are very welcome. We will take care of the visa process.

If you are interested to learn more, please email Ryan Jordan at ryanj [at] academia.edu

I totally agree about the importance of scientists to publish their code. That is critical. It's one of the many parts of the scientific process where the community would benefit from greater sharing.

mukaiji - I would love to chat to you. Drop me a line at richard [at] academia.edu.

You're right, there are some trends in the right direction, which is terrific. But these are early. By and large scientists only get credit for publishing papers, which means they aren't taking advantage of the full interactive power of the web.

It's rare for scientists to share things like data sets, or other things like a video of a certain physical process that is going on. Most graphs or tables in scientific papers are non-interactive: you can't change the x and y axes, or other properties of the graph, as you can with graphs in Google Analytics, or generally data that is displayed for native web consumption. Similarly the code that scientists use to run on their data sets, which generates conclusions that end up in their papers, doesn't get shared.

I think the key to opening up richer sharing is to provide credit metrics that incentivize this kind of activity. When scientists can get credit for sharing data-sets, code, videos, and a wider array of rich media, they will start sharing more, and taking greater advantage of the rich media power of the web.

I think that is a great sentiment. To find systems that work a lot better than the current one, which is incredibly slow, we are going to need to try a lot of different ideas.

When you are venturing into the unknown, innovation is tough and challenging, but it's also very rewarding.

I don't think informal channels, and conferences, which are infrequent, and really expensive to travel to, are enough. Before the 1600s, science was largely done by wealthy people who had large enough houses to have a laboratory in. Scientific results weren't publicly shared; at best they were shared between the experimenter and a few of his/her friends, who communicated by private letters.

In the late 1600s, the first journal was founded, which meant that it became the norm for all scientific results to be shared publicly. This era coincided with the birth of the Scientific Revolution, which was an incredible flourishing of scientific thinking, that formed the basis of modern science.

I think that with a much more connected scientific community, that operated more as a global brain, rather than relatively disconnected nodes, scientific progress could double. So if cancer would normally be cured in, x years, I can see that coming down to 1/2x years, with an accelerated science, and, given the length of x, that shortening is likely to be a matter of years.

I totally agree with you about data-sharing. I wanted to spend more time on that in the article, but didn't because I didn't want to make the article longer. I think the ability to share and ask questions about data really has enormous potential to drive science forward. The fact that enormous amounts of scientific data remains private to the lab, and not shared, is really a big loss to science. It's going to be very exciting as that data starts getting shared more.

The key to making that happen is disrupting the credit system. Right now scientists aren't incentivized to curate and share their data, so they don't put in the work to do it. You can't put data-sets on your resume, much like you can't put blog posts, or anything that is not a paper. As soon as scientists start getting credit for sharing data-sets, I think we'll start to see it happen.

Similar points apply, as you mention, to instant distribution. Instant distribution will happen more as scientists start getting credit for scientific ideas that they distribute instantly. You are already seeing some disruption to the credit system. In the last 5-10 years, since citation counts have been made publicly available by Google Scholar, citation counts have started to play a much larger role in resource allocation decisions, e.g. decisions by hiring committees and grant committees. I did my PhD at Oxford in philosophy from 2001-2007, and remained involved with some of the hiring decisions at the Oxford philosophy department until 2011, and it's been very interesting to watch the increased influence, over those years, of citation counts in hiring decisions.

Citation counts aren't perfect, but they are another signal. Hiring committees, I have experienced, are desperate for more signals that they can take into account when comparing candidates. Comparing candidates is a tough job. As with any signal, to wield it properly, you need to know its pros and cons. Fundamentally what the community is looking for here is a variety of signals that show how much a highly respected chunk of the scientific community has interacted with a piece of your content, and found it useful.

To get data-sets, and other media, to attract scientific credit, we need to develop metrics that demonstrate the traction that those pieces of media are getting in highly respected parts of the scientific community. I think those metrics will get developed, and that new metrics will play an enormous role in allowing different kinds of media to be shared, and everything to be shared faster.

That's a cool point about parallelization. There was a fascinating experiment done a few years ago by the mathemetician Tim Gowers, called the 'Polymath project', where he took a problem in math, and asked for the mathematicians who read his blog to solve parts of the problem. 40 people took part, and 7 weeks later, Gowers announced on his blog that the problem was 'probably solved'. A couple of papers came out of it, published by 'D.H.J Polymath'.

More info on this is on the Wikipedia page http://en.wikipedia.org/wiki/Polymath_Project

You're right, it would be cool if we could see more of this kind of thing happening. There is now a whole site dedicated to applying parallelization to other problems in math http://polymathprojects.org/

San Francisco, CA. Full time.

Academia.edu is a platform for academics to share research papers. The company's mission is to accelerate the world's research.

It's widely held that science is too closed, and too slow. We are trying to change that. We believe that faster sharing of research will lead to an acceleration in research innovation: faster innovation in medicine, biology, engineering, economics, and other fields. Faster sharing in biology and medicine, for example, could lead to cancer being solved 12 months before it otherwise would have been, which would lead to millions of lives being saved.

Academia.edu has over 1.1 million registered users, and over 3.5 million monthly unique visitors. Both of these metrics tripled in 2011. Over 4,500 papers are added to the platform each day, and over 3,000 academics join each day.

We need talented engineers to come and help us accelerate the world's research. We believe that there is a chance to make a big impact.

We just raised $4.5 million from Spark Capital and True Ventures http://news.ycombinator.com/item?id=3297812. Some of our angel investors include Mark Shuttleworth (founder of Ubuntu) and Rupert Pennant-Rea (Chairman of The Economist).

We have a strong engineering culture. We're a 10 person team based in downtown San Francisco. The site is Rails, and other technologies we use include PostgreSQL, Redis, Varnish, Solr, Memcached, Mongodb, Beanstalkd.

Familiarity with our technologies is a plus, but it's not essential. It's far more important that you are a quick learner who can pick up new technologies quickly. There is more information about the company on our hiring page, at http://academia.edu/hiring.

The kinds of things you would be working on include:

★ building new features (a conference feature, a discussion feature for papers)

★ enhancing existing features (News Feed, Profile page, paper upload tools)

★ building back-end infrastructure to scale the site

What we're looking for are:

☀ 2+ years of web development experience

☀ Experience with the full engineering stack

☀ Passion for engineering

All the strategic decisions in the startup are made collaboratively, whether they are about hiring, new feature development, user growth, user retention, funding, or revenue. You can participate in those general startup decisions as much or as little as you want. We have found that our decisions are much better as a result of everyone contributing to them. If you like having an impact, you will enjoy the Academia.edu culture. There is more information here http://academia.edu/hiring.

H1B candidates are very welcome. We will take care of the visa process.

If you are interested to learn more, please email Richard Price at richard [at] academia.edu

I am amazed that Yahoo is resorting to patent trolling tactics. Almost everyone in the Valley hates software patents, and only builds patent portfolios defensively, but they don't expect to have to defend themselves against each other. It seems very un-Silicon Valley of Yahoo to do this.

I think their brand will take a hit in the Valley. It's not the freshest and shiniest brand anyway, but still there is a long way down for it to go, and I think this will send it down some notches.

Great job Quartzy. It's wonderful to see more startups join the movement to accelerate science!

Rahul, Martin, Conrad, and others, Many Congrats! Rapportive is a really great product.

The reason is that academics need the validation of being published in a prestigious journal. See the comment below http://news.ycombinator.com/item?id=3597125