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Designing gene panels for tumor mutational burden estimation: the need to shift from ‘correlation’ to ‘accuracy’

Overview of attention for article published in Journal for Immunotherapy of Cancer, August 2019
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (75th percentile)

Mentioned by

twitter
12 tweeters
facebook
1 Facebook page

Citations

dimensions_citation
18 Dimensions

Readers on

mendeley
44 Mendeley
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Title
Designing gene panels for tumor mutational burden estimation: the need to shift from ‘correlation’ to ‘accuracy’
Published in
Journal for Immunotherapy of Cancer, August 2019
DOI 10.1186/s40425-019-0681-2
Pubmed ID
Authors

Hao-Xiang Wu, Zi-Xian Wang, Qi Zhao, Feng Wang, Rui-Hua Xu

Twitter Demographics

The data shown below were collected from the profiles of 12 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 18%
Student > Ph. D. Student 7 16%
Student > Master 3 7%
Other 2 5%
Professor 2 5%
Other 6 14%
Unknown 16 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 25%
Medicine and Dentistry 6 14%
Computer Science 2 5%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Agricultural and Biological Sciences 1 2%
Other 4 9%
Unknown 19 43%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 01 September 2019.
All research outputs
#3,324,719
of 19,021,597 outputs
Outputs from Journal for Immunotherapy of Cancer
#673
of 2,074 outputs
Outputs of similar age
#66,894
of 274,137 outputs
Outputs of similar age from Journal for Immunotherapy of Cancer
#1
of 1 outputs
Altmetric has tracked 19,021,597 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,074 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one has gotten more attention than average, scoring higher than 67% 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 274,137 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 75% 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