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Detecting space–time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities

Overview of attention for article published in Journal of Geographical Systems, March 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 141)
  • Good Attention Score compared to outputs of the same age (72nd percentile)

Mentioned by

twitter
10 X users

Citations

dimensions_citation
63 Dimensions

Readers on

mendeley
144 Mendeley
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Title
Detecting space–time clusters of COVID-19 in Brazil: mortality, inequality, socioeconomic vulnerability, and the relative risk of the disease in Brazilian municipalities
Published in
Journal of Geographical Systems, March 2021
DOI 10.1007/s10109-020-00344-0
Pubmed ID
Authors

M. R. Martines, R. V. Ferreira, R. H. Toppa, L. M. Assunção, M. R. Desjardins, E. M. Delmelle

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 144 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 22 15%
Researcher 19 13%
Student > Ph. D. Student 15 10%
Student > Bachelor 13 9%
Professor 8 6%
Other 21 15%
Unknown 46 32%
Readers by discipline Count As %
Medicine and Dentistry 22 15%
Social Sciences 16 11%
Nursing and Health Professions 9 6%
Economics, Econometrics and Finance 7 5%
Environmental Science 6 4%
Other 30 21%
Unknown 54 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 31 March 2021.
All research outputs
#5,290,022
of 25,837,817 outputs
Outputs from Journal of Geographical Systems
#35
of 141 outputs
Outputs of similar age
#125,699
of 455,770 outputs
Outputs of similar age from Journal of Geographical Systems
#2
of 3 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 141 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.4. This one has done well, scoring higher than 75% 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 455,770 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.