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Mendeley readers
Attention Score in Context
Title |
Estimating the size of the MSM populations for 38 European countries by calculating the survey-surveillance discrepancies (SSD) between self-reported new HIV diagnoses from the European MSM internet survey (EMIS) and surveillance-reported HIV diagnoses among MSM in 2009
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Published in |
BMC Public Health, October 2013
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DOI | 10.1186/1471-2458-13-919 |
Pubmed ID | |
Authors |
Ulrich Marcus, Ford Hickson, Peter Weatherburn, Axel J Schmidt, the EMIS Network |
Abstract |
Comparison of rates of newly diagnosed HIV infections among MSM across countries is challenging for a variety of reasons, including the unknown size of MSM populations. In this paper we propose a method of triangulating surveillance data with data collected in a pan-European MSM Internet Survey (EMIS) to estimate the sizes of the national MSM populations and the rates at which HIV is being diagnosed amongst them by calculating survey-surveillance discrepancies (SSD) as a measure of selection biases of survey participants. |
X Demographics
The data shown below were collected from the profiles of 4 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 | 50% |
Singapore | 1 | 25% |
Unknown | 1 | 25% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 86 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 1 | 1% |
Unknown | 85 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 16 | 19% |
Researcher | 14 | 16% |
Student > Master | 12 | 14% |
Student > Bachelor | 11 | 13% |
Student > Doctoral Student | 5 | 6% |
Other | 11 | 13% |
Unknown | 17 | 20% |
Readers by discipline | Count | As % |
---|---|---|
Social Sciences | 15 | 17% |
Medicine and Dentistry | 14 | 16% |
Nursing and Health Professions | 7 | 8% |
Psychology | 7 | 8% |
Agricultural and Biological Sciences | 5 | 6% |
Other | 14 | 16% |
Unknown | 24 | 28% |
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 21 June 2022.
All research outputs
#14,172,390
of 22,714,025 outputs
Outputs from BMC Public Health
#10,281
of 14,790 outputs
Outputs of similar age
#116,353
of 207,449 outputs
Outputs of similar age from BMC Public Health
#218
of 283 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 27th percentile – i.e., 27% 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 207,449 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 283 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.