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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Human Immunopeptidome Project: A Roadmap to Predict and Treat Immune Diseases*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, November 2019
|
| DOI | 10.1074/mcp.r119.001743 |
| Pubmed ID | |
| Authors |
Juan Antonio Vizcaíno, Peter Kubiniok, Kevin A Kovalchik, Qing Ma, Jérôme D Duquette, Ian Mongrain, Eric W Deutsch, Bjoern Peters, Alessandro Sette, Isabelle Sirois, Etienne Caron |
X Demographics
The data shown below were collected from the profiles of 36 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 | 9 | 25% |
| United Kingdom | 3 | 8% |
| Switzerland | 2 | 6% |
| Germany | 1 | 3% |
| Norway | 1 | 3% |
| Australia | 1 | 3% |
| Netherlands | 1 | 3% |
| India | 1 | 3% |
| Mexico | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 39% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 23 | 64% |
| Scientists | 10 | 28% |
| Practitioners (doctors, other healthcare professionals) | 2 | 6% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 164 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 164 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 18% |
| Researcher | 28 | 17% |
| Student > Master | 16 | 10% |
| Student > Bachelor | 12 | 7% |
| Other | 9 | 5% |
| Other | 21 | 13% |
| Unknown | 49 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 40 | 24% |
| Agricultural and Biological Sciences | 22 | 13% |
| Immunology and Microbiology | 15 | 9% |
| Chemistry | 10 | 6% |
| Computer Science | 8 | 5% |
| Other | 20 | 12% |
| Unknown | 49 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 43. 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 18 January 2024.
All research outputs
#975,451
of 26,017,215 outputs
Outputs from Molecular and Cellular Proteomics
#66
of 3,275 outputs
Outputs of similar age
#23,157
of 481,339 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#3
of 40 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,275 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 97% 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 481,339 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 94% 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 particularly well, scoring higher than 92% of its contemporaries.