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X Demographics
Mendeley readers
Attention Score in Context
Title |
Tumor immune microenvironment characterization in clear cell renal cell carcinoma identifies prognostic and immunotherapeutically relevant messenger RNA signatures
|
---|---|
Published in |
Genome Biology, November 2016
|
DOI | 10.1186/s13059-016-1092-z |
Pubmed ID | |
Authors |
Yasin Şenbabaoğlu, Ron S. Gejman, Andrew G. Winer, Ming Liu, Eliezer M. Van Allen, Guillermo de Velasco, Diana Miao, Irina Ostrovnaya, Esther Drill, Augustin Luna, Nils Weinhold, William Lee, Brandon J. Manley, Danny N. Khalil, Samuel D. Kaffenberger, Yingbei Chen, Ludmila Danilova, Martin H. Voss, Jonathan A. Coleman, Paul Russo, Victor E. Reuter, Timothy A. Chan, Emily H. Cheng, David A. Scheinberg, Ming O. Li, Toni K. Choueiri, James J. Hsieh, Chris Sander, A. Ari Hakimi |
X Demographics
The data shown below were collected from the profiles of 111 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 | 30 | 27% |
Spain | 11 | 10% |
France | 7 | 6% |
United Kingdom | 5 | 5% |
Canada | 4 | 4% |
Netherlands | 3 | 3% |
Singapore | 2 | 2% |
Belgium | 2 | 2% |
Mexico | 2 | 2% |
Other | 12 | 11% |
Unknown | 33 | 30% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 50 | 45% |
Scientists | 48 | 43% |
Practitioners (doctors, other healthcare professionals) | 11 | 10% |
Science communicators (journalists, bloggers, editors) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 373 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Israel | 1 | <1% |
France | 1 | <1% |
Unknown | 371 | 99% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 75 | 20% |
Student > Ph. D. Student | 58 | 16% |
Student > Master | 31 | 8% |
Student > Bachelor | 29 | 8% |
Other | 24 | 6% |
Other | 56 | 15% |
Unknown | 100 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 71 | 19% |
Medicine and Dentistry | 70 | 19% |
Agricultural and Biological Sciences | 50 | 13% |
Immunology and Microbiology | 23 | 6% |
Computer Science | 12 | 3% |
Other | 33 | 9% |
Unknown | 114 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 89. 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 12 December 2023.
All research outputs
#484,949
of 25,728,350 outputs
Outputs from Genome Biology
#265
of 4,508 outputs
Outputs of similar age
#9,920
of 420,041 outputs
Outputs of similar age from Genome Biology
#9
of 61 outputs
Altmetric has tracked 25,728,350 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,508 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has done particularly well, scoring higher than 94% 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 420,041 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 97% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.