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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 (71st percentile)

Mentioned by

news
5 news outlets
blogs
1 blog
twitter
112 tweeters
facebook
2 Facebook pages

Citations

dimensions_citation
9 Dimensions

Readers on

mendeley
94 Mendeley
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

Twitter Demographics

The data shown below were collected from the profiles of 112 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 94 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 26 28%
Researcher 23 24%
Student > Master 8 9%
Student > Doctoral Student 4 4%
Student > Bachelor 4 4%
Other 13 14%
Unknown 16 17%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 22 23%
Immunology and Microbiology 22 23%
Agricultural and Biological Sciences 11 12%
Medicine and Dentistry 7 7%
Pharmacology, Toxicology and Pharmaceutical Science 4 4%
Other 11 12%
Unknown 17 18%

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 08 January 2020.
All research outputs
#203,762
of 16,026,607 outputs
Outputs from Science Immunology
#103
of 456 outputs
Outputs of similar age
#5,557
of 262,098 outputs
Outputs of similar age from Science Immunology
#8
of 28 outputs
Altmetric has tracked 16,026,607 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 456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 92.8. This one has done well, scoring higher than 77% 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 262,098 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 28 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.