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X Demographics
Mendeley readers
Attention Score in Context
Title |
Individual-Based Simulation Models of HIV Transmission: Reporting Quality and Recommendations
|
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Published in |
PLOS ONE, September 2013
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DOI | 10.1371/journal.pone.0075624 |
Pubmed ID | |
Authors |
Nadia N. Abuelezam, Kathryn Rough, George R. Seage |
Abstract |
Individual-based modeling is a growing technique in the HIV transmission and prevention literature, but insufficient attention has been paid to formally evaluate the quality of reporting in this field. We present reporting recommendations for individual-based models for HIV treatment and prevention, assess the quality of reporting in the existing literature, and comment on the contribution of this model type to HIV policy and prediction. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 40% |
Colombia | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 1 | 20% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 73 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 22% |
Researcher | 16 | 22% |
Student > Master | 9 | 12% |
Student > Bachelor | 7 | 10% |
Student > Doctoral Student | 4 | 5% |
Other | 9 | 12% |
Unknown | 12 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 12 | 16% |
Mathematics | 10 | 14% |
Nursing and Health Professions | 7 | 10% |
Social Sciences | 6 | 8% |
Agricultural and Biological Sciences | 4 | 5% |
Other | 15 | 21% |
Unknown | 19 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 28 March 2020.
All research outputs
#7,414,431
of 23,340,595 outputs
Outputs from PLOS ONE
#90,116
of 199,597 outputs
Outputs of similar age
#67,074
of 207,302 outputs
Outputs of similar age from PLOS ONE
#1,983
of 5,005 outputs
Altmetric has tracked 23,340,595 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 199,597 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. This one has gotten more attention than average, scoring higher than 54% 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 207,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 5,005 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.