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.
X Demographics
Mendeley readers
Attention Score in Context
| 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 764 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 | 660 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 186 | 24% |
| Student > Ph. D. Student | 176 | 23% |
| Student > Master | 79 | 10% |
| Professor > Associate Professor | 47 | 6% |
| Other | 42 | 5% |
| Other | 146 | 19% |
| Unknown | 88 | 12% |
| 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 | 148 | 19% |
| Unknown | 114 | 15% |
Attention Score in Context
This research output has an Altmetric Attention Score of 27. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 June 2022.
All research outputs
#1,440,994
of 25,837,817 outputs
Outputs from PLoS Computational Biology
#1,197
of 9,027 outputs
Outputs of similar age
#3,837
of 109,356 outputs
Outputs of similar age from PLoS Computational Biology
#8
of 48 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,027 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. This one has done well, scoring higher than 86% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 109,356 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 48 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.