Title |
Caipirini: using gene sets to rank literature
|
---|---|
Published in |
BioData Mining, February 2012
|
DOI | 10.1186/1756-0381-5-1 |
Pubmed ID | |
Authors |
Theodoros G Soldatos, Seán I O'Donoghue, Venkata P Satagopam, Adriano Barbosa-Silva, Georgios A Pavlopoulos, Ana Carolina Wanderley-Nogueira, Nina Mota Soares-Cavalcanti, Reinhard Schneider |
Abstract |
Keeping up-to-date with bioscience literature is becoming increasingly challenging. Several recent methods help meet this challenge by allowing literature search to be launched based on lists of abstracts that the user judges to be 'interesting'. Some methods go further by allowing the user to provide a second input set of 'uninteresting' abstracts; these two input sets are then used to search and rank literature by relevance. In this work we present the service 'Caipirini' (http://caipirini.org) that also allows two input sets, but takes the novel approach of allowing ranking of literature based on one or more sets of genes. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 2 | 50% |
Canada | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Scientists | 2 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Luxembourg | 2 | 6% |
Germany | 1 | 3% |
Australia | 1 | 3% |
Cuba | 1 | 3% |
United States | 1 | 3% |
Mexico | 1 | 3% |
Unknown | 25 | 78% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 12 | 38% |
Professor | 4 | 13% |
Student > Ph. D. Student | 4 | 13% |
Professor > Associate Professor | 4 | 13% |
Other | 3 | 9% |
Other | 4 | 13% |
Unknown | 1 | 3% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 38% |
Computer Science | 6 | 19% |
Medicine and Dentistry | 4 | 13% |
Biochemistry, Genetics and Molecular Biology | 2 | 6% |
Engineering | 2 | 6% |
Other | 1 | 3% |
Unknown | 5 | 16% |