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Article Metrics

Transcriptomic signatures and repurposing drugs for COVID-19 patients: findings of bioinformatics analyses

Overview of attention for article published in Computational and Structural Biotechnology Journal, January 2021
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
1 news outlet
twitter
8 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
111 Mendeley
Title
Transcriptomic signatures and repurposing drugs for COVID-19 patients: findings of bioinformatics analyses
Published in
Computational and Structural Biotechnology Journal, January 2021
DOI 10.1016/j.csbj.2020.11.056
Pubmed ID
Authors

Guobing Li, Shasha Ruan, Xiaolu Zhao, Qi Liu, Yali Dou, Fengbiao Mao

Twitter Demographics

The data shown below were collected from the profiles of 8 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 14 13%
Student > Master 11 10%
Researcher 10 9%
Student > Doctoral Student 10 9%
Student > Ph. D. Student 6 5%
Other 16 14%
Unknown 44 40%
Readers by discipline Count As %
Medicine and Dentistry 22 20%
Biochemistry, Genetics and Molecular Biology 9 8%
Nursing and Health Professions 8 7%
Pharmacology, Toxicology and Pharmaceutical Science 7 6%
Unspecified 3 3%
Other 13 12%
Unknown 49 44%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 07 September 2021.
All research outputs
#1,985,008
of 18,881,749 outputs
Outputs from Computational and Structural Biotechnology Journal
#84
of 1,202 outputs
Outputs of similar age
#70,166
of 442,654 outputs
Outputs of similar age from Computational and Structural Biotechnology Journal
#28
of 336 outputs
Altmetric has tracked 18,881,749 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,202 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. 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 442,654 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 84% of its contemporaries.
We're also able to compare this research output to 336 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 91% of its contemporaries.