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Predicting tumor response to drugs based on gene-expression biomarkers of sensitivity learned from cancer cell lines

Overview of attention for article published in BMC Genomics, April 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

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5 X users

Citations

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32 Dimensions

Readers on

mendeley
65 Mendeley
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Title
Predicting tumor response to drugs based on gene-expression biomarkers of sensitivity learned from cancer cell lines
Published in
BMC Genomics, April 2021
DOI 10.1186/s12864-021-07581-7
Pubmed ID
Authors

Yuanyuan Li, David M. Umbach, Juno M. Krahn, Igor Shats, Xiaoling Li, Leping Li

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 65 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 26%
Student > Ph. D. Student 9 14%
Student > Master 5 8%
Student > Doctoral Student 5 8%
Student > Bachelor 4 6%
Other 7 11%
Unknown 18 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 23%
Computer Science 12 18%
Agricultural and Biological Sciences 7 11%
Medicine and Dentistry 3 5%
Social Sciences 2 3%
Other 6 9%
Unknown 20 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 19 April 2021.
All research outputs
#13,225,975
of 23,308,124 outputs
Outputs from BMC Genomics
#4,631
of 10,742 outputs
Outputs of similar age
#191,120
of 435,301 outputs
Outputs of similar age from BMC Genomics
#92
of 207 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,742 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 435,301 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% of its contemporaries.
We're also able to compare this research output to 207 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 54% of its contemporaries.