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Mendeley readers
| Title |
Biblio-MetReS: A bibliometric network reconstruction application and server
|
|---|---|
| Published in |
BMC Bioinformatics, October 2011
|
| DOI | 10.1186/1471-2105-12-387 |
| Pubmed ID | |
| Authors |
Anabel Usié, Hiren Karathia, Ivan Teixidó, Joan Valls, Xavier Faus, Rui Alves, Francesc Solsona |
| Abstract |
Reconstruction of genes and/or protein networks from automated analysis of the literature is one of the current targets of text mining in biomedical research. Some user-friendly tools already perform this analysis on precompiled databases of abstracts of scientific papers. Other tools allow expert users to elaborate and analyze the full content of a corpus of scientific documents. However, to our knowledge, no user friendly tool that simultaneously analyzes the latest set of scientific documents available on line and reconstructs the set of genes referenced in those documents is available. |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Mexico | 2 | 2% |
| Australia | 1 | <1% |
| United Kingdom | 1 | <1% |
| Peru | 1 | <1% |
| Colombia | 1 | <1% |
| France | 1 | <1% |
| Iran, Islamic Republic of | 1 | <1% |
| Russia | 1 | <1% |
| Other | 1 | <1% |
| Unknown | 91 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 24 | 23% |
| Student > Ph. D. Student | 16 | 16% |
| Student > Master | 14 | 14% |
| Professor > Associate Professor | 9 | 9% |
| Professor | 6 | 6% |
| Other | 21 | 20% |
| Unknown | 13 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 32 | 31% |
| Computer Science | 14 | 14% |
| Social Sciences | 10 | 10% |
| Engineering | 5 | 5% |
| Business, Management and Accounting | 4 | 4% |
| Other | 23 | 22% |
| Unknown | 15 | 15% |