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X Demographics
Mendeley readers
Attention Score in Context
Title |
Use of Cumulative Incidence of Novel Influenza A/H1N1 in Foreign Travelers to Estimate Lower Bounds on Cumulative Incidence in Mexico
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Published in |
PLOS ONE, September 2009
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DOI | 10.1371/journal.pone.0006895 |
Pubmed ID | |
Authors |
Marc Lipsitch, Martin Lajous, Justin J. O'Hagan, Ted Cohen, Joel C. Miller, Edward Goldstein, Leon Danon, Jacco Wallinga, Steven Riley, Scott F. Dowell, Carrie Reed, Meg McCarron |
Abstract |
An accurate estimate of the total number of cases and severity of illness of an emerging infectious disease is required both to define the burden of the epidemic and to determine the severity of disease. When a novel pathogen first appears, affected individuals with severe symptoms are more likely to be diagnosed. Accordingly, the total number of cases will be underestimated and disease severity overestimated. This problem is manifest in the current epidemic of novel influenza A/H1N1. |
X Demographics
The data shown below were collected from the profiles of 18 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 | 7 | 39% |
Canada | 1 | 6% |
Serbia | 1 | 6% |
Unknown | 9 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 15 | 83% |
Scientists | 2 | 11% |
Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 3% |
Israel | 1 | 2% |
Italy | 1 | 2% |
Afghanistan | 1 | 2% |
United States | 1 | 2% |
Unknown | 54 | 90% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 13 | 22% |
Student > Ph. D. Student | 10 | 17% |
Professor > Associate Professor | 8 | 13% |
Student > Bachelor | 7 | 12% |
Student > Master | 7 | 12% |
Other | 11 | 18% |
Unknown | 4 | 7% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 14 | 23% |
Agricultural and Biological Sciences | 11 | 18% |
Mathematics | 6 | 10% |
Social Sciences | 3 | 5% |
Nursing and Health Professions | 2 | 3% |
Other | 14 | 23% |
Unknown | 10 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 09 March 2020.
All research outputs
#2,071,284
of 25,877,363 outputs
Outputs from PLOS ONE
#25,053
of 225,708 outputs
Outputs of similar age
#6,358
of 105,043 outputs
Outputs of similar age from PLOS ONE
#68
of 538 outputs
Altmetric has tracked 25,877,363 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 225,708 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. This one has done well, scoring higher than 88% 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 105,043 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 93% of its contemporaries.
We're also able to compare this research output to 538 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.