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Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants

Overview of attention for article published in Science Translational Medicine, May 2017
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (98th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
11 news outlets
blogs
2 blogs
twitter
96 X users
facebook
4 Facebook pages
guideline
1 clinical guideline source
bluesky
1 Bluesky user

Readers on

mendeley
172 Mendeley
citeulike
1 CiteULike
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Article details
Title
Phenome-wide scanning identifies multiple diseases and disease severity phenotypes associated with HLA variants
Published in
Science Translational Medicine, May 2017
DOI 10.1126/scitranslmed.aai8708
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 profiles of 96 X users 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 172 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 %
United States 2 1%
Spain 1 <1%
Germany 1 <1%
Canada 1 <1%
Unknown 167 97%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 34 20%
Student > Ph. D. Student 27 16%
Other 16 9%
Professor 12 7%
Student > Doctoral Student 11 6%
Other 30 17%
Unknown 42 24%
Readers by discipline
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 39 23%
Medicine and Dentistry 25 15%
Agricultural and Biological Sciences 21 12%
Immunology and Microbiology 12 7%
Computer Science 4 2%
Other 16 9%
Unknown 55 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 148. 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 06 September 2020.
All research outputs
#328,554
of 29,707,359 outputs
Outputs from Science Translational Medicine
#898
of 5,573 outputs
Outputs of similar age
#5,874
of 336,264 outputs
Outputs of similar age from Science Translational Medicine
#16
of 117 outputs
Altmetric has tracked 29,707,359 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,573 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 93.3. This one has done well, scoring higher than 83% 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 336,264 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 117 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.