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Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters

Overview of attention for article published in Applied Geography, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 1,001)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (93rd percentile)

Mentioned by

news
10 news outlets
blogs
1 blog
twitter
22 tweeters
peer_reviews
1 peer review site

Citations

dimensions_citation
225 Dimensions

Readers on

mendeley
454 Mendeley
Title
Rapid surveillance of COVID-19 in the United States using a prospective space-time scan statistic: Detecting and evaluating emerging clusters
Published in
Applied Geography, May 2020
DOI 10.1016/j.apgeog.2020.102202
Pubmed ID
Authors

M.R. Desjardins, A. Hohl, E.M. Delmelle

Twitter Demographics

The data shown below were collected from the profiles of 22 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 454 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 454 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 62 14%
Researcher 61 13%
Student > Ph. D. Student 54 12%
Student > Bachelor 45 10%
Student > Doctoral Student 27 6%
Other 109 24%
Unknown 96 21%
Readers by discipline Count As %
Medicine and Dentistry 65 14%
Social Sciences 46 10%
Engineering 26 6%
Environmental Science 22 5%
Nursing and Health Professions 20 4%
Other 147 32%
Unknown 128 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 100. 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 24 November 2020.
All research outputs
#283,824
of 19,486,479 outputs
Outputs from Applied Geography
#7
of 1,001 outputs
Outputs of similar age
#9,139
of 287,999 outputs
Outputs of similar age from Applied Geography
#1
of 16 outputs
Altmetric has tracked 19,486,479 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,001 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.7. 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 287,999 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 96% of its contemporaries.
We're also able to compare this research output to 16 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 93% of its contemporaries.