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COVID-19 biomarkers for severity mapped to polycystic ovary syndrome

Overview of attention for article published in Journal of Translational Medicine, December 2020
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
28 Mendeley
Title
COVID-19 biomarkers for severity mapped to polycystic ovary syndrome
Published in
Journal of Translational Medicine, December 2020
DOI 10.1186/s12967-020-02669-2
Pubmed ID
Authors

Abu Saleh Md Moin, Thozhukat Sathyapalan, Stephen L. Atkin, Alexandra E. Butler

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 7%
Student > Bachelor 2 7%
Researcher 2 7%
Student > Master 2 7%
Student > Doctoral Student 1 4%
Other 4 14%
Unknown 15 54%
Readers by discipline Count As %
Medicine and Dentistry 6 21%
Nursing and Health Professions 5 18%
Biochemistry, Genetics and Molecular Biology 1 4%
Social Sciences 1 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 4%
Other 0 0%
Unknown 14 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 January 2021.
All research outputs
#6,576,731
of 23,274,744 outputs
Outputs from Journal of Translational Medicine
#1,020
of 4,103 outputs
Outputs of similar age
#162,811
of 504,447 outputs
Outputs of similar age from Journal of Translational Medicine
#33
of 97 outputs
Altmetric has tracked 23,274,744 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 4,103 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 73% 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 504,447 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 66% of its contemporaries.
We're also able to compare this research output to 97 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 63% of its contemporaries.