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Systematic functional identification of cancer multi-drug resistance genes

Overview of attention for article published in Genome Biology (Online Edition), February 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 (89th percentile)

Mentioned by

news
1 news outlet
twitter
15 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
62 Mendeley
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Title
Systematic functional identification of cancer multi-drug resistance genes
Published in
Genome Biology (Online Edition), February 2020
DOI 10.1186/s13059-020-1940-8
Pubmed ID
Authors

Man-Tat Lau, Shila Ghazanfar, Ashleigh Parkin, Angela Chou, Jourdin R. Rouaen, Jamie B. Littleboy, Danielle Nessem, Thang M. Khuong, Damien Nevoltris, Peter Schofield, David Langley, Daniel Christ, Jean Yang, Marina Pajic, G. Gregory Neely

Twitter Demographics

The data shown below were collected from the profiles of 15 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 > Ph. D. Student 10 16%
Student > Master 9 15%
Student > Doctoral Student 6 10%
Professor > Associate Professor 5 8%
Other 8 13%
Unknown 13 21%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 24 39%
Agricultural and Biological Sciences 11 18%
Medicine and Dentistry 10 16%
Immunology and Microbiology 1 2%
Mathematics 1 2%
Other 2 3%
Unknown 13 21%

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 06 November 2020.
All research outputs
#1,259,136
of 18,434,942 outputs
Outputs from Genome Biology (Online Edition)
#1,227
of 3,726 outputs
Outputs of similar age
#34,528
of 345,336 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,434,942 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 3,726 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. 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 345,336 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