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Dove Medical Press

Using observational data to inform the design of a prospective effectiveness study for a novel insulin delivery device

Overview of attention for article published in ClinicoEconomics and Outcomes Research: CEOR, September 2013
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  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

dimensions_citation
7 Dimensions

Readers on

mendeley
15 Mendeley
Title
Using observational data to inform the design of a prospective effectiveness study for a novel insulin delivery device
Published in
ClinicoEconomics and Outcomes Research: CEOR, September 2013
DOI 10.2147/ceor.s46896
Pubmed ID
Authors

Michael Grabner, Yong Chen, Matthew Nguyen, Scott D Abbott, Ralph Quimbo

Abstract

To inform the design and assess the feasibility of a prospective effectiveness study evaluating an insulin delivery device for patients with diabetes mellitus to be conducted within the membership of a large US commercial insurer.

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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 27%
Student > Bachelor 3 20%
Other 2 13%
Student > Postgraduate 2 13%
Student > Ph. D. Student 1 7%
Other 0 0%
Unknown 3 20%
Readers by discipline Count As %
Medicine and Dentistry 8 53%
Pharmacology, Toxicology and Pharmaceutical Science 1 7%
Social Sciences 1 7%
Computer Science 1 7%
Unknown 4 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 25 September 2013.
All research outputs
#16,783,081
of 25,457,858 outputs
Outputs from ClinicoEconomics and Outcomes Research: CEOR
#313
of 525 outputs
Outputs of similar age
#129,861
of 212,693 outputs
Outputs of similar age from ClinicoEconomics and Outcomes Research: CEOR
#11
of 16 outputs
Altmetric has tracked 25,457,858 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% 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 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 212,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.