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BAP1 haploinsufficiency predicts a distinct immunogenic class of malignant peritoneal mesothelioma

Overview of attention for article published in Genome Medicine, February 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)

Mentioned by

news
1 news outlet
twitter
18 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
61 Dimensions

Readers on

mendeley
62 Mendeley
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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

Twitter Demographics

The data shown below were collected from the profiles of 18 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 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 62 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 18%
Student > Master 8 13%
Student > Ph. D. Student 5 8%
Other 5 8%
Student > Bachelor 4 6%
Other 10 16%
Unknown 19 31%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 12 19%
Medicine and Dentistry 12 19%
Agricultural and Biological Sciences 5 8%
Nursing and Health Professions 3 5%
Social Sciences 2 3%
Other 9 15%
Unknown 19 31%

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 18 May 2021.
All research outputs
#1,306,450
of 21,201,553 outputs
Outputs from Genome Medicine
#280
of 1,347 outputs
Outputs of similar age
#29,934
of 283,700 outputs
Outputs of similar age from Genome Medicine
#1
of 1 outputs
Altmetric has tracked 21,201,553 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 1,347 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.6. This one has done well, scoring higher than 79% 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 283,700 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 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