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Empty peptide-receptive MHC class I molecules for efficient detection of antigen-specific T cells

Overview of attention for article published in Science Immunology, July 2019
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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 (97th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
106 X users
patent
4 patents
facebook
2 Facebook pages

Citations

dimensions_citation
65 Dimensions

Readers on

mendeley
202 Mendeley
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Title
Empty peptide-receptive MHC class I molecules for efficient detection of antigen-specific T cells
Published in
Science Immunology, July 2019
DOI 10.1126/sciimmunol.aau9039
Pubmed ID
Authors

Sunil Kumar Saini, Tripti Tamhane, Raghavendra Anjanappa, Ankur Saikia, Sofie Ramskov, Marco Donia, Inge Marie Svane, Søren Nyboe Jakobsen, Maria Garcia-Alai, Martin Zacharias, Rob Meijers, Sebastian Springer, Sine Reker Hadrup

X Demographics

X Demographics

The data shown below were collected from the profiles of 106 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 202 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 22%
Student > Ph. D. Student 39 19%
Student > Master 14 7%
Student > Bachelor 12 6%
Student > Doctoral Student 7 3%
Other 31 15%
Unknown 55 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 49 24%
Immunology and Microbiology 34 17%
Agricultural and Biological Sciences 23 11%
Medicine and Dentistry 11 5%
Chemistry 6 3%
Other 21 10%
Unknown 58 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 106. 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 04 January 2024.
All research outputs
#406,039
of 25,850,671 outputs
Outputs from Science Immunology
#309
of 1,066 outputs
Outputs of similar age
#8,257
of 363,483 outputs
Outputs of similar age from Science Immunology
#9
of 40 outputs
Altmetric has tracked 25,850,671 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 1,066 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 130.5. This one has gotten more attention than average, scoring higher than 71% 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 363,483 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 97% of its contemporaries.
We're also able to compare this research output to 40 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.