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Medical resource utilization and costs associated with autosomal dominant polycystic kidney disease in the USA: a retrospective matched cohort analysis of private insurer data

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, February 2015
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (51st percentile)

Mentioned by

policy
1 policy source

Citations

dimensions_citation
21 Dimensions

Readers on

mendeley
32 Mendeley
Title
Medical resource utilization and costs associated with autosomal dominant polycystic kidney disease in the USA: a retrospective matched cohort analysis of private insurer data
Published in
ClinicoEconomics and Outcomes Research: CEOR, February 2015
DOI 10.2147/ceor.s75523
Pubmed ID
Authors

Tyler Knight, Caroline Schaefer, Holly Krasa, Dorothee Oberdhan, Arlene Chapman, Ronald D Perrone

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 32 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 19%
Student > Master 5 16%
Student > Doctoral Student 4 13%
Student > Bachelor 3 9%
Student > Ph. D. Student 3 9%
Other 5 16%
Unknown 6 19%
Readers by discipline Count As %
Medicine and Dentistry 14 44%
Nursing and Health Professions 3 9%
Pharmacology, Toxicology and Pharmaceutical Science 2 6%
Biochemistry, Genetics and Molecular Biology 1 3%
Economics, Econometrics and Finance 1 3%
Other 3 9%
Unknown 8 25%
Attention Score in Context

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 07 September 2018.
All research outputs
#8,571,053
of 25,457,297 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#202
of 525 outputs
Outputs of similar age
#112,235
of 361,574 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#4
of 8 outputs
Altmetric has tracked 25,457,297 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.0. This one has gotten more attention than average, scoring higher than 52% of its peers.
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 361,574 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 51% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.