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Inferring cancer dependencies on metabolic genes from large-scale genetic screens

Overview of attention for article published in BMC Biology, April 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 (88th percentile)

Mentioned by

twitter
32 tweeters
wikipedia
5 Wikipedia pages

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
50 Mendeley
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Title
Inferring cancer dependencies on metabolic genes from large-scale genetic screens
Published in
BMC Biology, April 2019
DOI 10.1186/s12915-019-0654-4
Pubmed ID
Authors

Shoval Lagziel, Won Dong Lee, Tomer Shlomi

Twitter Demographics

The data shown below were collected from the profiles of 32 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 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Ph. D. Student 7 14%
Student > Master 7 14%
Student > Doctoral Student 5 10%
Student > Bachelor 3 6%
Other 5 10%
Unknown 14 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 13 26%
Agricultural and Biological Sciences 8 16%
Computer Science 5 10%
Medicine and Dentistry 4 8%
Immunology and Microbiology 2 4%
Other 4 8%
Unknown 14 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 20. 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 February 2022.
All research outputs
#1,468,112
of 21,756,717 outputs
Outputs from BMC Biology
#423
of 1,878 outputs
Outputs of similar age
#32,141
of 288,949 outputs
Outputs of similar age from BMC Biology
#1
of 1 outputs
Altmetric has tracked 21,756,717 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 1,878 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 21.2. This one has done well, scoring higher than 77% 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 288,949 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 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