| Title |
Mining Biological Pathways Using WikiPathways Web Services
|
|---|---|
| Published in |
PLOS ONE, July 2009
|
| DOI | 10.1371/journal.pone.0006447 |
| Pubmed ID | |
| Authors |
Thomas Kelder, Alexander R. Pico, Kristina Hanspers, Martijn P. van Iersel, Chris Evelo, Bruce R. Conklin |
| Abstract |
WikiPathways is a platform for creating, updating, and sharing biological pathways [1]. Pathways can be edited and downloaded using the wiki-style website. Here we present a SOAP web service that provides programmatic access to WikiPathways that is complementary to the website. We describe the functionality that this web service offers and discuss several use cases in detail. Exposing WikiPathways through a web service opens up new ways of utilizing pathway information and assisting the community curation process. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 151 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 11 | 7% |
| United States | 8 | 5% |
| United Kingdom | 3 | 2% |
| Portugal | 2 | 1% |
| Spain | 2 | 1% |
| France | 1 | <1% |
| Brazil | 1 | <1% |
| Sweden | 1 | <1% |
| Italy | 1 | <1% |
| Other | 8 | 5% |
| Unknown | 113 | 75% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 52 | 34% |
| Student > Ph. D. Student | 38 | 25% |
| Other | 12 | 8% |
| Professor > Associate Professor | 11 | 7% |
| Student > Bachelor | 8 | 5% |
| Other | 21 | 14% |
| Unknown | 9 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 69 | 46% |
| Computer Science | 20 | 13% |
| Biochemistry, Genetics and Molecular Biology | 16 | 11% |
| Medicine and Dentistry | 10 | 7% |
| Engineering | 7 | 5% |
| Other | 12 | 8% |
| Unknown | 17 | 11% |