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Decoding the evolutionary response to prostate cancer therapy by plasma genome sequencing

Overview of attention for article published in Genome Biology (Online Edition), July 2020
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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 (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

twitter
30 tweeters
facebook
1 Facebook page
wikipedia
6 Wikipedia pages

Citations

dimensions_citation
10 Dimensions

Readers on

mendeley
28 Mendeley
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Title
Decoding the evolutionary response to prostate cancer therapy by plasma genome sequencing
Published in
Genome Biology (Online Edition), July 2020
DOI 10.1186/s13059-020-02045-9
Pubmed ID
Authors

Naveen Ramesh, Emi Sei, Pei Ching Tsai, Shanshan Bai, Yuehui Zhao, Patricia Troncoso, Paul G. Corn, Christopher Logothetis, Amado J. Zurita, Nicholas E. Navin

Twitter Demographics

The data shown below were collected from the profiles of 30 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 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 25%
Student > Bachelor 6 21%
Student > Doctoral Student 3 11%
Student > Ph. D. Student 1 4%
Professor 1 4%
Other 2 7%
Unknown 8 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 36%
Agricultural and Biological Sciences 3 11%
Immunology and Microbiology 2 7%
Medicine and Dentistry 2 7%
Linguistics 1 4%
Other 2 7%
Unknown 8 29%

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 31 December 2020.
All research outputs
#1,570,906
of 23,872,700 outputs
Outputs from Genome Biology (Online Edition)
#1,360
of 4,250 outputs
Outputs of similar age
#44,181
of 399,542 outputs
Outputs of similar age from Genome Biology (Online Edition)
#40
of 88 outputs
Altmetric has tracked 23,872,700 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 4,250 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.9. This one has gotten more attention than average, scoring higher than 68% 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 399,542 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 88% of its contemporaries.
We're also able to compare this research output to 88 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 55% of its contemporaries.