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Alexis Madrigal

Alexis Madrigal - Alexis Madrigal is a senior editor at The Atlantic. He's the author of Powering the Dream: The History and Promise of Green Technology.
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The New York Observer calls him, "for all intents and purposes, the perfect modern reporter." Madrigal co-founded Longshot magazine, a high-speed media experiment that garnered attention from The New York Times, The Wall Street Journal, and the BBC. While at Wired.com, he built Wired Science into one of the most popular blogs in the world. The site was nominated for best magazine blog by the MPA and best science Web site in the 2009 Webby Awards. He also co-founded Haiti ReWired, a groundbreaking community dedicated to the discussion of technology, infrastructure, and the future of Haiti.

He's spoken at Stanford, CalTech, Berkeley, SXSW, E3, and the National Renewable Energy Laboratory, and his writing was anthologized in Best Technology Writing 2010 (Yale University Press).

Madrigal is a visiting scholar at the University of California at Berkeley's Office for the History of Science and Technology. Born in Mexico City, he grew up in the exurbs north of Portland, Oregon, and now lives in Oakland.

'Highly Tweeted Articles Were 11 Times More Likely to Be Highly Cited'

By Alexis Madrigal
Jan 13 2012, 9:05 AM ET Comment

We have a new study for those who argue that social media, whatever its virtues may be, doesn't correlate very well with the real world. It comes from the Journal of Medical Internet Research and is based on a three-year study of that journal's articles' relative success in the Twitter and academic worlds.

The bottom line is simple: articles that many people tweeted about were 11 times more likely to be highly cited than those who few people tweeted about. Its implications are even more interesting. It generally takes months and years for papers to be cited by other scientific publications. Thus, on the day an article comes out, it would seem to be difficult to tell whether it will have a real impact on a given field. However, because the majority of tweets about journal articles occur within the first two days of publication, we now have an early signal about which research is likely to be significant.

The authors of the article suggest a new metric for scientific publishing they call the twimpact factor, after the standard impact factor:

Tweets can predict highly cited articles within the first 3 days of article publication. Social media activity either increases citations or reflects the underlying qualities of the article that also predict citations, but the true use of these metrics is to measure the distinct concept of social impact. Social impact measures based on tweets are proposed to complement traditional citation metrics. The proposed twimpact factor may be a useful and timely metric to measure uptake of research findings and to filter research findings resonating with the public in real time.

Now, it's certainly possible that not all journals will be subject to these same rules. This journal, in particular, has 'Internet' in the title, so its authors, readers, and tweeters may be more Twitter-savvy than most. However, if anything like this kind of correlation is found in other fields, a hidden value of Twitter's network will be revealed. Want to peer a year or two into the future of a scientific field? Fire up Tweetie and start searching.


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