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Impact of COVID-19 pandemic on the epidemiology of STDs in China: based on the GM (1,1) model

Overview of attention for article published in BMC Infectious Diseases, June 2022
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
2 tweeters
reddit
1 Redditor

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Impact of COVID-19 pandemic on the epidemiology of STDs in China: based on the GM (1,1) model
Published in
BMC Infectious Diseases, June 2022
DOI 10.1186/s12879-022-07496-y
Authors

Jingmin Yan, Yanbo Li, Pingyu Zhou

Twitter Demographics

The data shown below were collected from the profiles of 2 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 20%
Unspecified 3 15%
Other 1 5%
Professor 1 5%
Lecturer 1 5%
Other 2 10%
Unknown 8 40%
Readers by discipline Count As %
Unspecified 3 15%
Nursing and Health Professions 3 15%
Medicine and Dentistry 2 10%
Social Sciences 2 10%
Business, Management and Accounting 1 5%
Other 1 5%
Unknown 8 40%

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 30 June 2022.
All research outputs
#14,789,079
of 22,769,322 outputs
Outputs from BMC Infectious Diseases
#4,066
of 7,668 outputs
Outputs of similar age
#226,539
of 441,277 outputs
Outputs of similar age from BMC Infectious Diseases
#90
of 171 outputs
Altmetric has tracked 22,769,322 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,668 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.6. This one is in the 42nd percentile – i.e., 42% 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 441,277 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 171 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.