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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, April 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#12 of 1,222)
  • 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
20 X users
peer_reviews
1 peer review site
wikipedia
1 Wikipedia page

Citations

dimensions_citation
292 Dimensions

Readers on

mendeley
484 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, April 2020
DOI 10.1016/j.apgeog.2020.102202
Pubmed ID
Authors

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

X Demographics

X Demographics

The data shown below were collected from the profiles of 20 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 484 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 484 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 65 13%
Researcher 62 13%
Student > Ph. D. Student 54 11%
Student > Bachelor 44 9%
Student > Doctoral Student 26 5%
Other 110 23%
Unknown 123 25%
Readers by discipline Count As %
Medicine and Dentistry 65 13%
Social Sciences 45 9%
Engineering 26 5%
Environmental Science 23 5%
Nursing and Health Professions 21 4%
Other 148 31%
Unknown 156 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 95. 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 12 February 2023.
All research outputs
#454,130
of 25,837,817 outputs
Outputs from Applied Geography
#12
of 1,222 outputs
Outputs of similar age
#13,675
of 403,205 outputs
Outputs of similar age from Applied Geography
#1
of 16 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,222 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.5. This one has done particularly well, scoring higher than 98% 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 403,205 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.