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Assessing differential impacts of COVID-19 on black communities

Overview of attention for article published in Annals of Epidemiology, July 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 (#3 of 1,656)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

Mentioned by

news
99 news outlets
blogs
8 blogs
policy
4 policy sources
twitter
68 tweeters

Citations

dimensions_citation
257 Dimensions

Readers on

mendeley
511 Mendeley
Title
Assessing differential impacts of COVID-19 on black communities
Published in
Annals of Epidemiology, July 2020
DOI 10.1016/j.annepidem.2020.05.003
Pubmed ID
Authors

Gregorio A. Millett, Austin T. Jones, David Benkeser, Stefan Baral, Laina Mercer, Chris Beyrer, Brian Honermann, Elise Lankiewicz, Leandro Mena, Jeffrey S. Crowley, Jennifer Sherwood, Patrick S. Sullivan

Twitter Demographics

The data shown below were collected from the profiles of 68 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 511 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 511 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 74 14%
Student > Ph. D. Student 68 13%
Student > Bachelor 57 11%
Student > Master 56 11%
Student > Doctoral Student 39 8%
Other 110 22%
Unknown 107 21%
Readers by discipline Count As %
Medicine and Dentistry 94 18%
Social Sciences 71 14%
Nursing and Health Professions 43 8%
Psychology 29 6%
Engineering 15 3%
Other 116 23%
Unknown 143 28%

Attention Score in Context

This research output has an Altmetric Attention Score of 899. 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 17 February 2021.
All research outputs
#9,282
of 17,121,505 outputs
Outputs from Annals of Epidemiology
#3
of 1,656 outputs
Outputs of similar age
#697
of 289,198 outputs
Outputs of similar age from Annals of Epidemiology
#2
of 17 outputs
Altmetric has tracked 17,121,505 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,656 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.0. 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 289,198 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 99% of its contemporaries.
We're also able to compare this research output to 17 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 94% of its contemporaries.