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Predictive accuracy of a hierarchical logistic model of cumulative SARS-CoV-2 case growth until May 2020

Overview of attention for article published in BMC Medical Research Methodology, November 2020
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (59th percentile)

Mentioned by

blogs
1 blog
twitter
2 tweeters

Citations

dimensions_citation
1 Dimensions

Readers on

mendeley
24 Mendeley
Title
Predictive accuracy of a hierarchical logistic model of cumulative SARS-CoV-2 case growth until May 2020
Published in
BMC Medical Research Methodology, November 2020
DOI 10.1186/s12874-020-01160-2
Authors

Levente Kriston

Twitter Demographics

The data shown below were collected from the profiles of 2 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 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 24 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 3 13%
Student > Master 3 13%
Other 2 8%
Researcher 2 8%
Student > Bachelor 1 4%
Other 5 21%
Unknown 8 33%
Readers by discipline Count As %
Medicine and Dentistry 3 13%
Nursing and Health Professions 3 13%
Psychology 2 8%
Social Sciences 2 8%
Computer Science 2 8%
Other 5 21%
Unknown 7 29%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 13 July 2021.
All research outputs
#3,213,111
of 19,069,422 outputs
Outputs from BMC Medical Research Methodology
#543
of 1,727 outputs
Outputs of similar age
#102,193
of 446,397 outputs
Outputs of similar age from BMC Medical Research Methodology
#90
of 226 outputs
Altmetric has tracked 19,069,422 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 1,727 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.4. This one has gotten more attention than average, scoring higher than 68% 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 446,397 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 77% of its contemporaries.
We're also able to compare this research output to 226 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 59% of its contemporaries.