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Integrative -omics and HLA-ligandomics analysis to identify novel drug targets for ccRCC immunotherapy

Overview of attention for article published in Genome Medicine, March 2020
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
3 tweeters

Citations

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17 Dimensions

Readers on

mendeley
38 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 18%
Researcher 6 16%
Student > Ph. D. Student 5 13%
Student > Bachelor 3 8%
Student > Doctoral Student 2 5%
Other 5 13%
Unknown 10 26%
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Medicine and Dentistry 6 16%
Biochemistry, Genetics and Molecular Biology 5 13%
Immunology and Microbiology 4 11%
Computer Science 2 5%
Other 2 5%
Unknown 11 29%

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 04 April 2020.
All research outputs
#10,832,700
of 17,366,233 outputs
Outputs from Genome Medicine
#1,037
of 1,156 outputs
Outputs of similar age
#159,006
of 278,374 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 17,366,233 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,156 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.4. This one is in the 8th percentile – i.e., 8% 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 278,374 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them