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{ 2008 01 25 }

Interesting application of scholarly data mining

When I saw Copycat Articles Seem Rife in Science Journals, a Digital Sleuth Finds – Chronicle.com, I was curious about the technology behind the findings. How did the researchers figure out the level of duplication in the medical literature? One aspect was the use of eTBlast. (To learn more, I can follow up by reading the Nature News article (How many papers are just duplicates?) that in turn points to the full article (A tale of two citations : Article : Nature).

Posted by Raymond Yee on Friday, January 25, 2008, at 5:39 pm. Filed under data mining, open access. Follow any responses to this post with its comments RSS feed. You can post a comment or trackback from your blog.

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