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A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19

Overview of attention for article published in PLoS Biology, November 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#26 of 4,830)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
88 news outlets
blogs
10 blogs
twitter
353 tweeters
facebook
3 Facebook pages
reddit
2 Redditors

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
70 Mendeley
Title
A network medicine approach to investigation and population-based validation of disease manifestations and drug repurposing for COVID-19
Published in
PLoS Biology, November 2020
DOI 10.1371/journal.pbio.3000970
Pubmed ID
Authors

Yadi Zhou, Yuan Hou, Jiayu Shen, Reena Mehra, Asha Kallianpur, Daniel A. Culver, Michaela U. Gack, Samar Farha, Joe Zein, Suzy Comhair, Claudio Fiocchi, Thaddeus Stappenbeck, Timothy Chan, Charis Eng, Jae U. Jung, Lara Jehi, Serpil Erzurum, Feixiong Cheng

Twitter Demographics

The data shown below were collected from the profiles of 353 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 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 70 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 14%
Student > Ph. D. Student 7 10%
Other 6 9%
Professor 6 9%
Student > Doctoral Student 6 9%
Other 12 17%
Unknown 23 33%
Readers by discipline Count As %
Medicine and Dentistry 10 14%
Biochemistry, Genetics and Molecular Biology 7 10%
Pharmacology, Toxicology and Pharmaceutical Science 5 7%
Nursing and Health Professions 3 4%
Neuroscience 3 4%
Other 16 23%
Unknown 26 37%

Attention Score in Context

This research output has an Altmetric Attention Score of 987. 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 03 March 2021.
All research outputs
#7,783
of 17,135,529 outputs
Outputs from PLoS Biology
#26
of 4,830 outputs
Outputs of similar age
#627
of 385,231 outputs
Outputs of similar age from PLoS Biology
#3
of 34 outputs
Altmetric has tracked 17,135,529 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,830 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 52.6. This one has done particularly well, scoring higher than 99% 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 385,231 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 34 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 94% of its contemporaries.