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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mitigation Strategies for Pandemic Influenza A: Balancing Conflicting Policy Objectives
|
|---|---|
| Published in |
PLoS Computational Biology, February 2011
|
| DOI | 10.1371/journal.pcbi.1001076 |
| Pubmed ID | |
| Authors |
T. Déirdre Hollingsworth, Don Klinkenberg, Hans Heesterbeek, Roy M. Anderson |
X Demographics
The data shown below were collected from the profiles of 40 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 | 12 | 30% |
| United Kingdom | 4 | 10% |
| Australia | 1 | 3% |
| Venezuela, Bolivarian Republic of | 1 | 3% |
| Central African Republic | 1 | 3% |
| Canada | 1 | 3% |
| France | 1 | 3% |
| Spain | 1 | 3% |
| India | 1 | 3% |
| Other | 0 | 0% |
| Unknown | 17 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 30 | 75% |
| Scientists | 8 | 20% |
| Practitioners (doctors, other healthcare professionals) | 2 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 3% |
| United States | 3 | 2% |
| Israel | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 173 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 15% |
| Researcher | 28 | 15% |
| Student > Master | 22 | 12% |
| Professor | 14 | 8% |
| Professor > Associate Professor | 11 | 6% |
| Other | 40 | 22% |
| Unknown | 40 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 31 | 17% |
| Agricultural and Biological Sciences | 19 | 10% |
| Social Sciences | 10 | 5% |
| Economics, Econometrics and Finance | 8 | 4% |
| Mathematics | 8 | 4% |
| Other | 52 | 28% |
| Unknown | 55 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 46. 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 17 February 2024.
All research outputs
#938,031
of 25,863,888 outputs
Outputs from PLoS Computational Biology
#697
of 9,059 outputs
Outputs of similar age
#4,270
of 197,512 outputs
Outputs of similar age from PLoS Computational Biology
#1
of 58 outputs
Altmetric has tracked 25,863,888 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,059 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.3. This one has done particularly well, scoring higher than 92% 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 197,512 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 97% of its contemporaries.
We're also able to compare this research output to 58 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.