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COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic

Overview of attention for article published in BMC Medical Research Methodology, September 2020
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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 (86th percentile)

Mentioned by

twitter
24 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
53 Mendeley
Title
COVID19-world: a shiny application to perform comprehensive country-specific data visualization for SARS-CoV-2 epidemic
Published in
BMC Medical Research Methodology, September 2020
DOI 10.1186/s12874-020-01121-9
Pubmed ID
Authors

Cristian Tebé, Joan Valls, Pau Satorra, Aurelio Tobías

Twitter Demographics

The data shown below were collected from the profiles of 24 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 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 19%
Student > Bachelor 7 13%
Other 5 9%
Student > Master 4 8%
Librarian 3 6%
Other 10 19%
Unknown 14 26%
Readers by discipline Count As %
Medicine and Dentistry 8 15%
Social Sciences 5 9%
Biochemistry, Genetics and Molecular Biology 5 9%
Pharmacology, Toxicology and Pharmaceutical Science 4 8%
Nursing and Health Professions 3 6%
Other 11 21%
Unknown 17 32%

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 20 January 2021.
All research outputs
#1,450,904
of 17,027,788 outputs
Outputs from BMC Medical Research Methodology
#235
of 1,586 outputs
Outputs of similar age
#43,801
of 316,735 outputs
Outputs of similar age from BMC Medical Research Methodology
#1
of 1 outputs
Altmetric has tracked 17,027,788 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,586 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.9. This one has done well, scoring higher than 85% 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 316,735 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 86% 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