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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…

Overview of attention for article published in BMC Public Health, October 2013
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Mentioned by

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4 tweeters

Citations

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58 Dimensions

Readers on

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74 Mendeley
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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
Published in
BMC Public Health, October 2013
DOI 10.1186/1471-2458-13-919
Pubmed ID
Authors

Ulrich Marcus, Ford Hickson, Peter Weatherburn, Axel J Schmidt

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.

Twitter Demographics

The data shown below were collected from the profiles of 4 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 1%
Unknown 73 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 20%
Researcher 14 19%
Student > Master 12 16%
Student > Bachelor 11 15%
Student > Doctoral Student 5 7%
Other 9 12%
Unknown 8 11%
Readers by discipline Count As %
Medicine and Dentistry 14 19%
Social Sciences 14 19%
Nursing and Health Professions 8 11%
Psychology 7 9%
Agricultural and Biological Sciences 5 7%
Other 13 18%
Unknown 13 18%

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
#13,216,881
of 21,615,008 outputs
Outputs from BMC Public Health
#9,486
of 14,004 outputs
Outputs of similar age
#99,884
of 185,706 outputs
Outputs of similar age from BMC Public Health
#13
of 17 outputs
Altmetric has tracked 21,615,008 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,004 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 30th percentile – i.e., 30% 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 185,706 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.