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A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)

Overview of attention for article published in Biomarker Research, August 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#29 of 224)
  • Good Attention Score compared to outputs of the same age (76th percentile)

Mentioned by

news
1 news outlet
twitter
3 tweeters

Citations

dimensions_citation
58 Dimensions

Readers on

mendeley
148 Mendeley
Title
A meta-analysis of potential biomarkers associated with severity of coronavirus disease 2019 (COVID-19)
Published in
Biomarker Research, August 2020
DOI 10.1186/s40364-020-00217-0
Pubmed ID
Authors

Celestin Danwang, Francky Teddy Endomba, Jan René Nkeck, Dominic Leandry Angong Wouna, Annie Robert, Jean Jacques Noubiap

Twitter Demographics

The data shown below were collected from the profiles of 3 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 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 148 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 19 13%
Researcher 17 11%
Other 13 9%
Student > Ph. D. Student 13 9%
Student > Postgraduate 11 7%
Other 34 23%
Unknown 41 28%
Readers by discipline Count As %
Medicine and Dentistry 53 36%
Biochemistry, Genetics and Molecular Biology 20 14%
Pharmacology, Toxicology and Pharmaceutical Science 6 4%
Immunology and Microbiology 6 4%
Nursing and Health Professions 5 3%
Other 14 9%
Unknown 44 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 9. 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 04 September 2020.
All research outputs
#3,171,530
of 19,682,269 outputs
Outputs from Biomarker Research
#29
of 224 outputs
Outputs of similar age
#74,857
of 312,972 outputs
Outputs of similar age from Biomarker Research
#1
of 1 outputs
Altmetric has tracked 19,682,269 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 224 research outputs from this source. They receive a mean Attention Score of 4.0. This one has done well, scoring higher than 87% 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 312,972 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 76% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them