| Title |
Modeling influenza epidemics and pandemics: insights into the future of swine flu (H1N1)
|
|---|---|
| Published in |
BMC Medicine, June 2009
|
| DOI | 10.1186/1741-7015-7-30 |
| Pubmed ID | |
| Authors |
Brian J Coburn, Bradley G Wagner, Sally Blower |
X Demographics
The data shown below were collected from the profiles of 137 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 | 37 | 27% |
| Canada | 4 | 3% |
| United Kingdom | 4 | 3% |
| Germany | 3 | 2% |
| Comoros | 2 | 1% |
| Belgium | 2 | 1% |
| Sweden | 2 | 1% |
| Malaysia | 1 | <1% |
| Spain | 1 | <1% |
| Other | 8 | 6% |
| Unknown | 73 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 117 | 85% |
| Scientists | 12 | 9% |
| Practitioners (doctors, other healthcare professionals) | 5 | 4% |
| Science communicators (journalists, bloggers, editors) | 3 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 434 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 1% |
| Germany | 3 | <1% |
| Canada | 3 | <1% |
| France | 2 | <1% |
| United Kingdom | 2 | <1% |
| Kenya | 1 | <1% |
| Israel | 1 | <1% |
| India | 1 | <1% |
| Australia | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 407 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 75 | 17% |
| Researcher | 71 | 16% |
| Student > Master | 60 | 14% |
| Student > Bachelor | 60 | 14% |
| Student > Doctoral Student | 23 | 5% |
| Other | 75 | 17% |
| Unknown | 70 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 76 | 18% |
| Agricultural and Biological Sciences | 68 | 16% |
| Mathematics | 35 | 8% |
| Computer Science | 21 | 5% |
| Engineering | 20 | 5% |
| Other | 124 | 29% |
| Unknown | 90 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 471. 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 04 January 2024.
All research outputs
#58,094
of 25,703,943 outputs
Outputs from BMC Medicine
#65
of 4,071 outputs
Outputs of similar age
#97
of 124,208 outputs
Outputs of similar age from BMC Medicine
#1
of 14 outputs
Altmetric has tracked 25,703,943 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 4,071 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 45.7. This one has done particularly well, scoring higher than 98% 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 124,208 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 14 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 92% of its contemporaries.