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Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation

Overview of attention for article published in Methods of Information in Medicine, September 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 822)
  • High Attention Score compared to outputs of the same age (86th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
1 news outlet
policy
1 policy source
twitter
1 X user
facebook
1 Facebook page

Readers on

mendeley
23 Mendeley
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Article details
Title
Optimizing Identification of People Living with HIV from Electronic Medical Records: Computable Phenotype Development and Validation
Published in
Methods of Information in Medicine, September 2021
DOI 10.1055/s-0041-1735619
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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Activity
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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.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 23 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Other 2 9%
Unspecified 1 4%
Librarian 1 4%
Student > Bachelor 1 4%
Professor 1 4%
Other 2 9%
Unknown 15 65%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Unspecified 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Mathematics 1 4%
Nursing and Health Professions 1 4%
Other 1 4%
Unknown 15 65%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 18 July 2025.
All research outputs
#3,521,903
of 33,779,198 outputs
Outputs from Methods of Information in Medicine
#22
of 822 outputs
Outputs of similar age
#61,642
of 464,048 outputs
Outputs of similar age from Methods of Information in Medicine
#1
of 15 outputs
Altmetric has tracked 33,779,198 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 822 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 97% 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 464,048 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 86% of its contemporaries.
We're also able to compare this research output to 15 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 93% of its contemporaries.