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X Demographics
Mendeley readers
Attention Score in Context
Title |
BAP1 haploinsufficiency predicts a distinct immunogenic class of malignant peritoneal mesothelioma
|
---|---|
Published in |
Genome Medicine, February 2019
|
DOI | 10.1186/s13073-019-0620-3 |
Pubmed ID | |
Authors |
Raunak Shrestha, Noushin Nabavi, Yen-Yi Lin, Fan Mo, Shawn Anderson, Stanislav Volik, Hans H. Adomat, Dong Lin, Hui Xue, Xin Dong, Robert Shukin, Robert H. Bell, Brian McConeghy, Anne Haegert, Sonal Brahmbhatt, Estelle Li, Htoo Zarni Oo, Antonio Hurtado-Coll, Ladan Fazli, Joshua Zhou, Yarrow McConnell, Andrea McCart, Andrew Lowy, Gregg B. Morin, Tianhui Chen, Mads Daugaard, S. Cenk Sahinalp, Faraz Hach, Stephane Le Bihan, Martin E. Gleave, Yuzhuo Wang, Andrew Churg, Colin C. Collins |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 4 | 22% |
Nepal | 3 | 17% |
United Kingdom | 3 | 17% |
United States | 2 | 11% |
Turkey | 1 | 6% |
Unknown | 5 | 28% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 9 | 50% |
Members of the public | 6 | 33% |
Practitioners (doctors, other healthcare professionals) | 2 | 11% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 69 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 11 | 16% |
Student > Master | 8 | 12% |
Student > Bachelor | 5 | 7% |
Student > Ph. D. Student | 5 | 7% |
Other | 5 | 7% |
Other | 8 | 12% |
Unknown | 27 | 39% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 12 | 17% |
Medicine and Dentistry | 12 | 17% |
Agricultural and Biological Sciences | 5 | 7% |
Nursing and Health Professions | 3 | 4% |
Chemical Engineering | 2 | 3% |
Other | 8 | 12% |
Unknown | 27 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 22. 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 03 April 2024.
All research outputs
#1,749,686
of 25,628,260 outputs
Outputs from Genome Medicine
#384
of 1,601 outputs
Outputs of similar age
#39,729
of 367,172 outputs
Outputs of similar age from Genome Medicine
#7
of 18 outputs
Altmetric has tracked 25,628,260 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,601 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.6. This one has done well, scoring higher than 76% 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 367,172 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 89% of its contemporaries.
We're also able to compare this research output to 18 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 66% of its contemporaries.