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Integrated computational and Drosophila cancer model platform captures previously unappreciated chemicals perturbing a kinase network

Overview of attention for article published in PLoS Computational Biology, April 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 (78th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
17 tweeters
facebook
1 Facebook page

Readers on

mendeley
5 Mendeley
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Title
Integrated computational and Drosophila cancer model platform captures previously unappreciated chemicals perturbing a kinase network
Published in
PLoS Computational Biology, April 2019
DOI 10.1371/journal.pcbi.1006878
Pubmed ID
Authors

Peter M. U. Ung, Masahiro Sonoshita, Alex P. Scopton, Arvin C. Dar, Ross L. Cagan, Avner Schlessinger

Twitter Demographics

The data shown below were collected from the profiles of 17 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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 40%
Student > Ph. D. Student 1 20%
Student > Doctoral Student 1 20%
Unspecified 1 20%
Readers by discipline Count As %
Unspecified 2 40%
Biochemistry, Genetics and Molecular Biology 1 20%
Agricultural and Biological Sciences 1 20%
Chemistry 1 20%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 09 July 2019.
All research outputs
#1,909,271
of 13,610,796 outputs
Outputs from PLoS Computational Biology
#2,029
of 5,461 outputs
Outputs of similar age
#54,429
of 255,559 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 13 outputs
Altmetric has tracked 13,610,796 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,461 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.1. This one has gotten more attention than average, scoring higher than 62% 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 255,559 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 78% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.