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American clusters: using machine learning to understand health and health care disparities in the United States

Overview of attention for article published in Health Affairs Scholar, February 2024
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
2 X users

Readers on

mendeley
18 Mendeley
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Article details
Title
American clusters: using machine learning to understand health and health care disparities in the United States
Published in
Health Affairs Scholar, February 2024
DOI 10.1093/haschl/qxae017
Pubmed ID
Authors

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Timeline Attention over time Attention Score history
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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Lecturer 1 6%
Student > Doctoral Student 1 6%
Student > Ph. D. Student 1 6%
Researcher 1 6%
Professor > Associate Professor 1 6%
Other 0 0%
Unknown 13 72%
Readers by discipline
Readers by discipline Count As %
Nursing and Health Professions 2 11%
Environmental Science 1 6%
Business, Management and Accounting 1 6%
Computer Science 1 6%
Medicine and Dentistry 1 6%
Other 0 0%
Unknown 12 67%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 March 2024.
All research outputs
#22,408,425
of 32,413,349 outputs
Outputs from Health Affairs Scholar
#302
of 377 outputs
Outputs of similar age
#237,087
of 433,717 outputs
Outputs of similar age from Health Affairs Scholar
#28
of 37 outputs
Altmetric has tracked 32,413,349 research outputs across all sources so far. This one is in the 29th percentile – i.e., 29% of other outputs scored the same or lower than it.
So far Altmetric has tracked 377 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one is in the 19th percentile – i.e., 19% 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 433,717 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 37 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.