Title |
The Next Generation of Transcription Factor Binding Site Prediction
|
---|---|
Published in |
PLoS Computational Biology, September 2013
|
DOI | 10.1371/journal.pcbi.1003214 |
Pubmed ID | |
Authors |
Anthony Mathelier, Wyeth W. Wasserman |
X Demographics
The data shown below were collected from the profiles of 31 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 26% |
United Kingdom | 3 | 10% |
France | 2 | 6% |
Canada | 2 | 6% |
Germany | 2 | 6% |
India | 1 | 3% |
Netherlands | 1 | 3% |
Peru | 1 | 3% |
Norway | 1 | 3% |
Other | 0 | 0% |
Unknown | 10 | 32% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 18 | 58% |
Members of the public | 10 | 32% |
Science communicators (journalists, bloggers, editors) | 2 | 6% |
Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 378 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 14 | 4% |
United Kingdom | 5 | 1% |
Germany | 4 | 1% |
France | 4 | 1% |
Spain | 3 | <1% |
Russia | 2 | <1% |
Finland | 2 | <1% |
Belgium | 2 | <1% |
India | 1 | <1% |
Other | 11 | 3% |
Unknown | 330 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 118 | 31% |
Researcher | 72 | 19% |
Student > Master | 51 | 13% |
Student > Bachelor | 23 | 6% |
Student > Postgraduate | 18 | 5% |
Other | 56 | 15% |
Unknown | 40 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 166 | 44% |
Biochemistry, Genetics and Molecular Biology | 93 | 25% |
Computer Science | 36 | 10% |
Medicine and Dentistry | 7 | 2% |
Neuroscience | 5 | 1% |
Other | 25 | 7% |
Unknown | 46 | 12% |