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X Demographics
Mendeley readers
Attention Score in Context
Title |
Integrative -omics and HLA-ligandomics analysis to identify novel drug targets for ccRCC immunotherapy
|
---|---|
Published in |
Genome Medicine, March 2020
|
DOI | 10.1186/s13073-020-00731-8 |
Pubmed ID | |
Authors |
Anna Reustle, Moreno Di Marco, Carolin Meyerhoff, Annika Nelde, Juliane S. Walz, Stefan Winter, Siahei Kandabarau, Florian Büttner, Mathias Haag, Linus Backert, Daniel J. Kowalewski, Steffen Rausch, Jörg Hennenlotter, Viktoria Stühler, Marcus Scharpf, Falko Fend, Arnulf Stenzl, Hans-Georg Rammensee, Jens Bedke, Stefan Stevanović, Matthias Schwab, Elke Schaeffeler |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 17% |
Student > Master | 7 | 17% |
Student > Ph. D. Student | 5 | 12% |
Student > Bachelor | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 5 | 12% |
Unknown | 13 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 8 | 19% |
Medicine and Dentistry | 7 | 17% |
Biochemistry, Genetics and Molecular Biology | 5 | 12% |
Immunology and Microbiology | 4 | 10% |
Computer Science | 2 | 5% |
Other | 1 | 2% |
Unknown | 15 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 02 April 2020.
All research outputs
#16,681,672
of 26,017,215 outputs
Outputs from Genome Medicine
#1,426
of 1,612 outputs
Outputs of similar age
#232,196
of 398,775 outputs
Outputs of similar age from Genome Medicine
#23
of 27 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,612 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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 398,775 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.