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Identifying patterns of clinical conditions among high-cost older adult health care users using claims data: a latent class approach

Overview of attention for article published in International Journal for Equity in Health, June 2022
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Mentioned by

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1 tweeter

Readers on

mendeley
2 Mendeley
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Title
Identifying patterns of clinical conditions among high-cost older adult health care users using claims data: a latent class approach
Published in
International Journal for Equity in Health, June 2022
DOI 10.1186/s12939-022-01688-3
Authors

Xiaolin He, Danjin Li, Wenyi Wang, Hong Liang, Yan Liang

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 50%
Other 1 50%
Readers by discipline Count As %
Nursing and Health Professions 2 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 21 June 2022.
All research outputs
#18,341,711
of 22,714,025 outputs
Outputs from International Journal for Equity in Health
#1,715
of 1,888 outputs
Outputs of similar age
#308,912
of 439,543 outputs
Outputs of similar age from International Journal for Equity in Health
#37
of 45 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,888 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.2. This one is in the 2nd percentile – i.e., 2% 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 439,543 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.