You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Title |
Hypoxia-inducible factor (HIF) network: insights from mathematical models
|
|---|---|
| Published in |
Cell Communication and Signaling, June 2013
|
| DOI | 10.1186/1478-811x-11-42 |
| Pubmed ID | |
| Authors |
Miguel AS Cavadas, Lan K Nguyen, Alex Cheong |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 1% |
| France | 2 | 1% |
| Poland | 1 | <1% |
| United Kingdom | 1 | <1% |
| Unknown | 152 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 18% |
| Student > Master | 29 | 18% |
| Researcher | 28 | 18% |
| Student > Bachelor | 12 | 8% |
| Student > Doctoral Student | 8 | 5% |
| Other | 25 | 16% |
| Unknown | 27 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 43 | 27% |
| Biochemistry, Genetics and Molecular Biology | 26 | 16% |
| Medicine and Dentistry | 23 | 15% |
| Immunology and Microbiology | 5 | 3% |
| Physics and Astronomy | 5 | 3% |
| Other | 23 | 15% |
| Unknown | 33 | 21% |