↓ Skip to main content

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
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (59th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 tweeters

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
21 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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 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 > Bachelor 2 10%
Researcher 2 10%
Student > Doctoral Student 1 5%
Lecturer 1 5%
Student > Ph. D. Student 1 5%
Other 3 14%
Unknown 11 52%
Readers by discipline Count As %
Medicine and Dentistry 3 14%
Economics, Econometrics and Finance 2 10%
Nursing and Health Professions 2 10%
Engineering 2 10%
Social Sciences 1 5%
Other 0 0%
Unknown 11 52%

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
#13,392,948
of 23,310,485 outputs
Outputs from BMC Public Health
#9,366
of 15,198 outputs
Outputs of similar age
#203,428
of 508,835 outputs
Outputs of similar age from BMC Public Health
#226
of 399 outputs
Altmetric has tracked 23,310,485 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 15,198 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.0. 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 508,835 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 59% of its contemporaries.
We're also able to compare this research output to 399 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.