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X Demographics
Mendeley readers
Attention Score in Context
| 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
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 27 | 25% |
| Germany | 8 | 8% |
| United Kingdom | 7 | 7% |
| Australia | 5 | 5% |
| Denmark | 3 | 3% |
| India | 2 | 2% |
| France | 2 | 2% |
| Korea, Republic of | 2 | 2% |
| Singapore | 2 | 2% |
| Other | 17 | 16% |
| Unknown | 31 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 65 | 61% |
| Scientists | 30 | 28% |
| Science communicators (journalists, bloggers, editors) | 6 | 6% |
| Practitioners (doctors, other healthcare professionals) | 5 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 199 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 199 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 22% |
| Student > Ph. D. Student | 39 | 20% |
| Student > Master | 14 | 7% |
| Student > Bachelor | 12 | 6% |
| Student > Doctoral Student | 7 | 4% |
| Other | 28 | 14% |
| Unknown | 55 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 49 | 25% |
| Immunology and Microbiology | 34 | 17% |
| Agricultural and Biological Sciences | 23 | 12% |
| Medicine and Dentistry | 11 | 6% |
| Chemistry | 6 | 3% |
| Other | 18 | 9% |
| Unknown | 58 | 29% |
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
#404,026
of 25,734,859 outputs
Outputs from Science Immunology
#309
of 1,056 outputs
Outputs of similar age
#8,263
of 363,187 outputs
Outputs of similar age from Science Immunology
#9
of 40 outputs
Altmetric has tracked 25,734,859 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 1,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 137.2. This one has gotten more attention than average, scoring higher than 70% 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 363,187 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.