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HLA-dependent heterogeneity and macrophage immunoproteasome activation during lung COVID-19 disease

Overview of attention for article published in Journal of Translational Medicine, July 2021
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

twitter
9 tweeters

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
35 Mendeley
Summary Twitter Dimensions citations
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Title
HLA-dependent heterogeneity and macrophage immunoproteasome activation during lung COVID-19 disease
Published in
Journal of Translational Medicine, July 2021
DOI 10.1186/s12967-021-02965-5
Pubmed ID
34225749
Authors

Christophe Desterke, Ali G. Turhan, Annelise Bennaceur-Griscelli, Frank Griscelli

View on publisher site

Twitter Demographics

The data shown below were collected from the profiles of 9 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 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 35 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 5 14%
Student > Master 3 9%
Librarian 3 9%
Other 2 6%
Student > Postgraduate 2 6%
Other 6 17%
Unknown 14 40%
Readers by discipline Count As %
Medicine and Dentistry 6 17%
Nursing and Health Professions 4 11%
Biochemistry, Genetics and Molecular Biology 3 9%
Computer Science 2 6%
Arts and Humanities 1 3%
Other 5 14%
Unknown 14 40%

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 December 2021.
All research outputs
#6,305,548
of 22,699,621 outputs
Outputs from Journal of Translational Medicine
#972
of 3,966 outputs
Outputs of similar age
#132,770
of 436,266 outputs
Outputs of similar age from Journal of Translational Medicine
#20
of 105 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 3,966 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has done well, scoring higher than 75% 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 436,266 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 105 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.

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