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The high-cost, type 2 diabetes mellitus patient: an analysis of managed care administrative data

Overview of attention for article published in Archives of Public Health, February 2014
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3 X users

Citations

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67 Mendeley
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Title
The high-cost, type 2 diabetes mellitus patient: an analysis of managed care administrative data
Published in
Archives of Public Health, February 2014
DOI 10.1186/2049-3258-72-6
Pubmed ID
Authors

Juliana L Meyers, Shreekant Parasuraman, Kelly F Bell, John P Graham, Sean D Candrilli

Abstract

Type 2 diabetes mellitus (T2DM) affects 25.8 million individuals in the United States and exerts a substantial economic burden on patients, health care systems, and society. Few studies have categorized costs and resource use at the patient level. The goals of this study were to assess predictors of being a high-cost (HC) patient and compare HC T2DM patients with not high-cost (NHC) T2DM patients.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Chile 1 1%
Italy 1 1%
Unknown 65 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 18%
Researcher 11 16%
Other 7 10%
Student > Postgraduate 6 9%
Student > Bachelor 6 9%
Other 8 12%
Unknown 17 25%
Readers by discipline Count As %
Medicine and Dentistry 20 30%
Nursing and Health Professions 9 13%
Economics, Econometrics and Finance 4 6%
Agricultural and Biological Sciences 3 4%
Pharmacology, Toxicology and Pharmaceutical Science 3 4%
Other 10 15%
Unknown 18 27%
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 03 March 2014.
All research outputs
#16,048,318
of 25,374,917 outputs
Outputs from Archives of Public Health
#674
of 1,144 outputs
Outputs of similar age
#129,104
of 235,870 outputs
Outputs of similar age from Archives of Public Health
#10
of 11 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,144 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. This one is in the 36th percentile – i.e., 36% 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 235,870 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 11 others from the same source and published within six weeks on either side of this one. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.