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Michigan Publishing

Representation of molecules for drug response prediction

Overview of attention for article published in Briefings in Bioinformatics, September 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (57th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

twitter
6 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
39 Mendeley
Title
Representation of molecules for drug response prediction
Published in
Briefings in Bioinformatics, September 2021
DOI 10.1093/bib/bbab393
Pubmed ID
Authors

Xin An, Xi Chen, Daiyao Yi, Hongyang Li, Yuanfang Guan

X Demographics

X Demographics

The data shown below were collected from the profiles of 6 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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 18%
Student > Ph. D. Student 4 10%
Student > Master 2 5%
Other 1 3%
Professor 1 3%
Other 3 8%
Unknown 21 54%
Readers by discipline Count As %
Chemistry 4 10%
Biochemistry, Genetics and Molecular Biology 2 5%
Computer Science 2 5%
Agricultural and Biological Sciences 1 3%
Medicine and Dentistry 1 3%
Other 3 8%
Unknown 26 67%
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 02 October 2021.
All research outputs
#14,088,183
of 24,903,209 outputs
Outputs from Briefings in Bioinformatics
#1,319
of 2,813 outputs
Outputs of similar age
#177,101
of 426,729 outputs
Outputs of similar age from Briefings in Bioinformatics
#58
of 144 outputs
Altmetric has tracked 24,903,209 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,813 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 52% 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 426,729 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 57% of its contemporaries.
We're also able to compare this research output to 144 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 59% of its contemporaries.