↓ Skip to main content

Science Immunology

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
Altmetric Badge

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
107 X users
patent
4 patents
facebook
2 Facebook pages

Citations

dimensions_citation
70 Dimensions

Readers on

mendeley
206 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

X Demographics

X Demographics

The data shown below were collected from the profiles of 107 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 206 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 44 21%
Student > Ph. D. Student 39 19%
Student > Master 14 7%
Student > Bachelor 12 6%
Student > Doctoral Student 7 3%
Other 29 14%
Unknown 61 30%
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 19 9%
Unknown 64 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 107. 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
#415,541
of 26,383,299 outputs
Outputs from Science Immunology
#314
of 1,100 outputs
Outputs of similar age
#8,281
of 365,442 outputs
Outputs of similar age from Science Immunology
#9
of 40 outputs
Altmetric has tracked 26,383,299 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 1,100 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 136.2. 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 365,442 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.