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X Demographics
Mendeley readers
Attention Score in Context
| Title |
First Principles Modeling of Nonlinear Incidence Rates in Seasonal Epidemics
|
|---|---|
| Published in |
PLoS Computational Biology, February 2011
|
| DOI | 10.1371/journal.pcbi.1001079 |
| Pubmed ID | |
| Authors |
José M. Ponciano, Marcos A. Capistrán |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 2% |
| Germany | 1 | 1% |
| Italy | 1 | 1% |
| India | 1 | 1% |
| Brazil | 1 | 1% |
| Mexico | 1 | 1% |
| United Kingdom | 1 | 1% |
| Unknown | 76 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 17 | 20% |
| Student > Ph. D. Student | 15 | 18% |
| Professor > Associate Professor | 10 | 12% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 7 | 8% |
| Other | 17 | 20% |
| Unknown | 10 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Mathematics | 23 | 27% |
| Agricultural and Biological Sciences | 11 | 13% |
| Medicine and Dentistry | 11 | 13% |
| Social Sciences | 5 | 6% |
| Computer Science | 4 | 5% |
| Other | 14 | 17% |
| Unknown | 16 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 30 June 2017.
All research outputs
#16,922,633
of 25,658,541 outputs
Outputs from PLoS Computational Biology
#7,272
of 9,022 outputs
Outputs of similar age
#94,273
of 119,155 outputs
Outputs of similar age from PLoS Computational Biology
#48
of 66 outputs
Altmetric has tracked 25,658,541 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,022 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.2. This one is in the 16th percentile – i.e., 16% of its peers scored the same or lower than it.
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 119,155 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.