I just wanted to point to a post that Tim O’Reilly wrote just before the US election a few weeks back. There was an interesting discussion about the rights and wrongs of him posting on his political views and the rights and wrongs of that being linked to from the O’Reilly Media front page. In amongst the abuse that you have come to expect in public political discussions there is some thought provoking stuff.
Bibliographic coupling is a term coined by Kessler (doi:10.1002/asi.5090140103) in 1963 as a measure of similarity between documents. If two documents, A and B, cite a third, C, then A and B are coupled.I'm interested in extending this to data, such as DNA sequences and specimens. In part this is because within the challenge dataset I'm finding cases where authors cite data, but not the paper publishing the data.
This is the second in a series of posts (first one here) in which I am trying to process and collect ideas that came out of Scifoo. This post arises out of a discussion I had with Michael Eisen (UC Berkely) and Sean Eddy (HHMI Janelia Farm) at lunch on the Saturday. We had drifted from a discussion of the problem of attribution stacking and citing datasets (and datasets made up of datasets) into the problem of academic credit.
Lab Times has an interesting article by Ralf Neumann that analyses Europe's publications in evolutionary biology for the period 1996-2006. On page 36 there is a table of the 30 most cited authors in Europe, and the top five most cited papers.
Science commons and other are organising a workshop on Open Science issues as a satellite meeting of the European Science Open Forum meeting in July.
Image via Wikipedia Once again a range of conversations in different places have collided in my feed reader. Over on Nature Networks, Martin Fenner posted on Researcher ID which lead to a discussion about attribution and in particular Martin’s comment that there was a need to be able to link to comments and the necessity of timestamps.
Came across the paper "Using incomplete citation data for MEDLINE results ranking" (pmid:16779053, fulltext available in PMC .The authors applied PageRank (the algorithm Google use to rank search results) to papers in MEDLINE and found that PageRank is robust to information loss. In other words, even if a citation database is incomplete it will do a good job of ranking results.
Playing with the recently released "Catalogue of Life" CD, and pondering Charles Hussey's recent post to TAXACOM about the "European Virtual Library of Taxonomic Literature (E-ViTL)" (part of EDIT) has got me thinking more and more about how primitive our handling of taxonomic literature is, and how it cripples the utility of taxonomic databases such as the Catalogue of Life.