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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Infectious Disease Modeling of Social Contagion in Networks
|
|---|---|
| Published in |
PLoS Computational Biology, November 2010
|
| DOI | 10.1371/journal.pcbi.1000968 |
| Pubmed ID | |
| Authors |
Alison L. Hill, David G. Rand, Martin A. Nowak, Nicholas A. Christakis |
X Demographics
The data shown below were collected from the profiles of 80 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 | 25 | 31% |
| Japan | 5 | 6% |
| Mexico | 4 | 5% |
| United Kingdom | 4 | 5% |
| Canada | 3 | 4% |
| Australia | 2 | 3% |
| Spain | 1 | 1% |
| Romania | 1 | 1% |
| San Marino | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 31 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 60 | 75% |
| Scientists | 18 | 23% |
| Practitioners (doctors, other healthcare professionals) | 2 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 359 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 16 | 4% |
| United Kingdom | 6 | 2% |
| Germany | 3 | <1% |
| Mexico | 2 | <1% |
| Indonesia | 1 | <1% |
| Ireland | 1 | <1% |
| Australia | 1 | <1% |
| Brazil | 1 | <1% |
| Netherlands | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 319 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 93 | 26% |
| Researcher | 64 | 18% |
| Student > Master | 43 | 12% |
| Student > Bachelor | 25 | 7% |
| Student > Doctoral Student | 22 | 6% |
| Other | 78 | 22% |
| Unknown | 34 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 43 | 12% |
| Agricultural and Biological Sciences | 43 | 12% |
| Social Sciences | 37 | 10% |
| Medicine and Dentistry | 33 | 9% |
| Psychology | 26 | 7% |
| Other | 121 | 34% |
| Unknown | 56 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 305. 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 19 March 2024.
All research outputs
#114,778
of 25,744,802 outputs
Outputs from PLoS Computational Biology
#82
of 9,030 outputs
Outputs of similar age
#288
of 110,819 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 61 outputs
Altmetric has tracked 25,744,802 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,030 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 particularly well, scoring higher than 99% 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 110,819 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 99% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.