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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mass Spectrometry Based Immunopeptidomics Leads to Robust Predictions of Phosphorylated HLA Class I Ligands*
|
|---|---|
| Published in |
Molecular and Cellular Proteomics, December 2019
|
| DOI | 10.1074/mcp.tir119.001641 |
| Pubmed ID | |
| Authors |
Marthe Solleder, Philippe Guillaume, Julien Racle, Justine Michaux, Hui-Song Pak, Markus Müller, George Coukos, Michal Bassani-Sternberg, David Gfeller |
X Demographics
The data shown below were collected from the profiles of 21 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 | 6 | 29% |
| Switzerland | 2 | 10% |
| Germany | 1 | 5% |
| India | 1 | 5% |
| Austria | 1 | 5% |
| Unknown | 10 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 13 | 62% |
| Scientists | 6 | 29% |
| Practitioners (doctors, other healthcare professionals) | 1 | 5% |
| Science communicators (journalists, bloggers, editors) | 1 | 5% |
Mendeley readers
The data shown below were compiled from readership statistics for 109 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 109 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 25% |
| Researcher | 21 | 19% |
| Student > Bachelor | 12 | 11% |
| Student > Master | 10 | 9% |
| Student > Doctoral Student | 5 | 5% |
| Other | 11 | 10% |
| Unknown | 23 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 31 | 28% |
| Agricultural and Biological Sciences | 18 | 17% |
| Immunology and Microbiology | 11 | 10% |
| Chemistry | 8 | 7% |
| Computer Science | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 22 | 20% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 26 August 2021.
All research outputs
#2,710,523
of 25,477,125 outputs
Outputs from Molecular and Cellular Proteomics
#436
of 3,224 outputs
Outputs of similar age
#61,809
of 464,043 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#10
of 35 outputs
Altmetric has tracked 25,477,125 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,224 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done well, scoring higher than 86% 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 464,043 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 35 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.