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The effect of sociodemographic factors on COVID-19 incidence of 342 cities in China: a geographically weighted regression model analysis

Overview of attention for article published in BMC Infectious Diseases, May 2021
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (84th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

news
1 news outlet
blogs
1 blog
twitter
1 X user

Readers on

mendeley
55 Mendeley
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Title
The effect of sociodemographic factors on COVID-19 incidence of 342 cities in China: a geographically weighted regression model analysis
Published in
BMC Infectious Diseases, May 2021
DOI 10.1186/s12879-021-06128-1
Pubmed ID
Authors

Huihui Zhang, Yini Liu, Fangyao Chen, Baibing Mi, Lingxia Zeng, Leilei Pei

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 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 55 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 18%
Student > Master 7 13%
Lecturer 3 5%
Other 2 4%
Librarian 1 2%
Other 4 7%
Unknown 28 51%
Readers by discipline Count As %
Nursing and Health Professions 6 11%
Social Sciences 3 5%
Psychology 3 5%
Environmental Science 3 5%
Mathematics 1 2%
Other 6 11%
Unknown 33 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 May 2021.
All research outputs
#2,718,740
of 23,308,124 outputs
Outputs from BMC Infectious Diseases
#844
of 7,804 outputs
Outputs of similar age
#69,238
of 439,746 outputs
Outputs of similar age from BMC Infectious Diseases
#28
of 204 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 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,804 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 done well, scoring higher than 89% 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 439,746 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 84% of its contemporaries.
We're also able to compare this research output to 204 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.