| Title |
Practical Guidelines for the Comprehensive Analysis of ChIP-seq Data
|
|---|---|
| Published in |
PLoS Computational Biology, November 2013
|
| DOI | 10.1371/journal.pcbi.1003326 |
| Pubmed ID | |
| Authors |
Timothy Bailey, Pawel Krajewski, Istvan Ladunga, Celine Lefebvre, Qunhua Li, Tao Liu, Pedro Madrigal, Cenny Taslim, Jie Zhang |
X Demographics
The data shown below were collected from the profiles of 45 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 | 9 | 20% |
| Canada | 5 | 11% |
| United Kingdom | 4 | 9% |
| Australia | 2 | 4% |
| Germany | 2 | 4% |
| France | 1 | 2% |
| Norway | 1 | 2% |
| Mexico | 1 | 2% |
| India | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 16 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 28 | 62% |
| Members of the public | 16 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,589 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 28 | 2% |
| United Kingdom | 13 | <1% |
| Germany | 8 | <1% |
| France | 7 | <1% |
| Spain | 5 | <1% |
| Italy | 5 | <1% |
| Brazil | 4 | <1% |
| Sweden | 4 | <1% |
| Netherlands | 4 | <1% |
| Other | 28 | 2% |
| Unknown | 1483 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 460 | 29% |
| Researcher | 398 | 25% |
| Student > Master | 195 | 12% |
| Student > Bachelor | 117 | 7% |
| Student > Doctoral Student | 64 | 4% |
| Other | 215 | 14% |
| Unknown | 140 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 732 | 46% |
| Biochemistry, Genetics and Molecular Biology | 416 | 26% |
| Computer Science | 86 | 5% |
| Medicine and Dentistry | 56 | 4% |
| Immunology and Microbiology | 29 | 2% |
| Other | 102 | 6% |
| Unknown | 168 | 11% |