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Computational determination of hERG-related cardiotoxicity of drug candidates

Overview of attention for article published in BMC Bioinformatics, May 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
15 tweeters
facebook
2 Facebook pages
reddit
1 Redditor

Citations

dimensions_citation
28 Dimensions

Readers on

mendeley
45 Mendeley
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Title
Computational determination of hERG-related cardiotoxicity of drug candidates
Published in
BMC Bioinformatics, May 2019
DOI 10.1186/s12859-019-2814-5
Pubmed ID
Authors

Hyang-Mi Lee, Myeong-Sang Yu, Sayada Reemsha Kazmi, Seong Yun Oh, Ki-Hyeong Rhee, Myung-Ae Bae, Byung Ho Lee, Dae-Seop Shin, Kwang-Seok Oh, Hyithaek Ceong, Donghyun Lee, Dokyun Na

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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 22%
Student > Ph. D. Student 6 13%
Student > Bachelor 4 9%
Professor > Associate Professor 2 4%
Student > Doctoral Student 2 4%
Other 8 18%
Unknown 13 29%
Readers by discipline Count As %
Chemistry 7 16%
Pharmacology, Toxicology and Pharmaceutical Science 5 11%
Biochemistry, Genetics and Molecular Biology 5 11%
Medicine and Dentistry 3 7%
Agricultural and Biological Sciences 3 7%
Other 5 11%
Unknown 17 38%

Attention Score in Context

This research output has an Altmetric Attention Score of 15. 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 11 June 2021.
All research outputs
#1,706,845
of 18,845,910 outputs
Outputs from BMC Bioinformatics
#496
of 6,447 outputs
Outputs of similar age
#39,647
of 279,158 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 45 outputs
Altmetric has tracked 18,845,910 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,447 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 92% 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 279,158 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 85% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.