| Title |
TIN-X: target importance and novelty explorer
|
|---|---|
| Published in |
Bioinformatics, April 2017
|
| DOI | 10.1093/bioinformatics/btx200 |
| Pubmed ID | |
| Authors | |
| Abstract |
The increasing amount of peer-reviewed manuscripts requires the development of specific mining tools to facilitate the visual exploration of evidence linking diseases and proteins. We developed TIN-X, the Target Importance and Novelty eXplorer, to visualize the association between proteins and diseases, based on text mining data processed from scientific literature. In the current implementation, TIN-X supports exploration of data for G-protein coupled receptors, kinases, ion channels, and nuclear receptors. TIN-X supports browsing and navigating across proteins and diseases based on ontology classes, and displays a scatter plot with two proposed new bibliometric statistics: Importance and Novelty. http://www.newdrugtargets.org. [email protected]. Further information including the source code is available from the project repository at http://bitbucket.org/dccannon/tin-x/overview. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| United States | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 37 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 27% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Master | 3 | 8% |
| Librarian | 2 | 5% |
| Other | 2 | 5% |
| Other | 4 | 11% |
| Unknown | 11 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 19% |
| Biochemistry, Genetics and Molecular Biology | 5 | 14% |
| Medicine and Dentistry | 5 | 14% |
| Chemistry | 4 | 11% |
| Computer Science | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 12 | 32% |