| Title |
A Dynamic Network Approach for the Study of Human Phenotypes
|
|---|---|
| Published in |
PLoS Computational Biology, April 2009
|
| DOI | 10.1371/journal.pcbi.1000353 |
| Pubmed ID | |
| Authors |
César A. Hidalgo, Nicholas Blumm, Albert-László Barabási, Nicholas A. Christakis |
X Demographics
The data shown below were collected from the profiles of 12 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 | 5 | 42% |
| India | 1 | 8% |
| Canada | 1 | 8% |
| Argentina | 1 | 8% |
| Unknown | 4 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 2 | 17% |
| Science communicators (journalists, bloggers, editors) | 1 | 8% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 768 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 31 | 4% |
| United Kingdom | 13 | 2% |
| Spain | 9 | 1% |
| Germany | 9 | 1% |
| France | 6 | <1% |
| Switzerland | 4 | <1% |
| Portugal | 4 | <1% |
| Canada | 3 | <1% |
| Netherlands | 2 | <1% |
| Other | 23 | 3% |
| Unknown | 664 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 187 | 24% |
| Student > Ph. D. Student | 176 | 23% |
| Student > Master | 79 | 10% |
| Professor > Associate Professor | 47 | 6% |
| Other | 42 | 5% |
| Other | 150 | 20% |
| Unknown | 87 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 173 | 23% |
| Computer Science | 118 | 15% |
| Medicine and Dentistry | 109 | 14% |
| Biochemistry, Genetics and Molecular Biology | 77 | 10% |
| Physics and Astronomy | 25 | 3% |
| Other | 154 | 20% |
| Unknown | 112 | 15% |