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An analytical model of population level chronic conditions and COVID-19 related hospitalization in the United States

Overview of attention for article published in BMC Public Health, February 2022
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (58th percentile)

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
20 Mendeley
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Title
An analytical model of population level chronic conditions and COVID-19 related hospitalization in the United States
Published in
BMC Public Health, February 2022
DOI 10.1186/s12889-022-12531-3
Pubmed ID
Authors

Biplab K. Datta, Benjamin E. Ansa, Varghese George

Twitter Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 10%
Researcher 2 10%
Lecturer 1 5%
Student > Ph. D. Student 1 5%
Student > Doctoral Student 1 5%
Other 2 10%
Unknown 11 55%
Readers by discipline Count As %
Nursing and Health Professions 2 10%
Economics, Econometrics and Finance 2 10%
Engineering 2 10%
Medicine and Dentistry 2 10%
Social Sciences 1 5%
Other 0 0%
Unknown 11 55%

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 18 April 2022.
All research outputs
#12,783,012
of 22,257,736 outputs
Outputs from BMC Public Health
#8,912
of 14,446 outputs
Outputs of similar age
#173,358
of 423,645 outputs
Outputs of similar age from BMC Public Health
#2
of 3 outputs
Altmetric has tracked 22,257,736 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,446 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 37th percentile – i.e., 37% of its peers scored the same or lower than it.
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 423,645 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 58% 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.