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Using logic regression to characterize extreme heat exposures and their health associations: a time-series study of emergency department visits in Atlanta

Overview of attention for article published in BMC Medical Research Methodology, April 2021
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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 (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

blogs
1 blog
twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
21 Mendeley
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Title
Using logic regression to characterize extreme heat exposures and their health associations: a time-series study of emergency department visits in Atlanta
Published in
BMC Medical Research Methodology, April 2021
DOI 10.1186/s12874-021-01278-x
Pubmed ID
Authors

Shan Jiang, Joshua L. Warren, Noah Scovronick, Shannon E. Moss, Lyndsey A. Darrow, Matthew J. Strickland, Andrew J. Newman, Yong Chen, Stefanie T. Ebelt, Howard H. Chang

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 21 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 14%
Researcher 3 14%
Other 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 8 38%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Environmental Science 2 10%
Social Sciences 2 10%
Computer Science 1 5%
Unspecified 1 5%
Other 2 10%
Unknown 10 48%
Attention Score in Context

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 27 April 2021.
All research outputs
#3,837,516
of 23,308,124 outputs
Outputs from BMC Medical Research Methodology
#607
of 2,056 outputs
Outputs of similar age
#92,778
of 436,647 outputs
Outputs of similar age from BMC Medical Research Methodology
#21
of 55 outputs
Altmetric has tracked 23,308,124 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 2,056 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 69% 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 436,647 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 78% of its contemporaries.
We're also able to compare this research output to 55 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 61% of its contemporaries.