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X Demographics
Mendeley readers
Attention Score in Context
Title |
Guidance Document: Validation of a High-Performance Liquid Chromatography-Tandem Mass Spectrometry Immunopeptidomics Assay for the Identification of HLA Class I Ligands Suitable for Pharmaceutical Therapies*
|
---|---|
Published in |
Molecular and Cellular Proteomics, January 2020
|
DOI | 10.1074/mcp.c119.001652 |
Pubmed ID | |
Authors |
Michael Ghosh, Marion Gauger, Ana Marcu, Annika Nelde, Monika Denk, Heiko Schuster, Hans-Georg Rammensee, Stefan Stevanović |
X Demographics
The data shown below were collected from the profiles of 25 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 | 5 | 20% |
Turkey | 1 | 4% |
Sweden | 1 | 4% |
Australia | 1 | 4% |
United Kingdom | 1 | 4% |
Poland | 1 | 4% |
Germany | 1 | 4% |
Unknown | 14 | 56% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 17 | 68% |
Scientists | 5 | 20% |
Science communicators (journalists, bloggers, editors) | 2 | 8% |
Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 57 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 26% |
Researcher | 11 | 19% |
Student > Master | 8 | 14% |
Student > Bachelor | 4 | 7% |
Student > Doctoral Student | 2 | 4% |
Other | 8 | 14% |
Unknown | 9 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 21 | 37% |
Agricultural and Biological Sciences | 9 | 16% |
Immunology and Microbiology | 5 | 9% |
Computer Science | 3 | 5% |
Medicine and Dentistry | 2 | 4% |
Other | 6 | 11% |
Unknown | 11 | 19% |
Attention Score in Context
This research output has an Altmetric Attention Score of 28. 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 01 December 2022.
All research outputs
#1,427,532
of 25,837,817 outputs
Outputs from Molecular and Cellular Proteomics
#131
of 3,261 outputs
Outputs of similar age
#35,017
of 482,259 outputs
Outputs of similar age from Molecular and Cellular Proteomics
#2
of 41 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,261 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. This one has done particularly well, scoring higher than 95% 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 482,259 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 92% of its contemporaries.
We're also able to compare this research output to 41 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 95% of its contemporaries.