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Using Molecular Transmission Networks to Reveal the Epidemic of Pretreatment HIV-1 Drug Resistance in Guangxi, China

Overview of attention for article published in Frontiers in Genetics, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (82nd percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
6 Mendeley
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Title
Using Molecular Transmission Networks to Reveal the Epidemic of Pretreatment HIV-1 Drug Resistance in Guangxi, China
Published in
Frontiers in Genetics, September 2021
DOI 10.3389/fgene.2021.688292
Pubmed ID
Authors

Fei Zhang, Bingyu Liang, Xu Liang, Zhaosen Lin, Yuan Yang, Na Liang, Yao Yang, Huayue Liang, Jiaxiao Jiang, Jiegang Huang, Rongye Huang, Shanmei Zhong, Cai Qin, Junjun Jiang, Li Ye, Hao Liang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 1 17%
Other 1 17%
Student > Master 1 17%
Unknown 3 50%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Immunology and Microbiology 1 17%
Unknown 3 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 02 February 2023.
All research outputs
#3,279,772
of 23,269,984 outputs
Outputs from Frontiers in Genetics
#1,002
of 12,291 outputs
Outputs of similar age
#75,507
of 429,047 outputs
Outputs of similar age from Frontiers in Genetics
#48
of 750 outputs
Altmetric has tracked 23,269,984 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,291 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done particularly well, scoring higher than 91% 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 429,047 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 750 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.