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The Use of Computer Simulation Modeling to Estimate Complications in Patients with Type 2 Diabetes Mellitus: Comparative Validation of the Cornerstone Diabetes Simulation Model

Overview of attention for article published in PharmacoEconomics - Open, June 2019
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Mentioned by

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1 Facebook page

Readers on

mendeley
4 Mendeley
Title
The Use of Computer Simulation Modeling to Estimate Complications in Patients with Type 2 Diabetes Mellitus: Comparative Validation of the Cornerstone Diabetes Simulation Model
Published in
PharmacoEconomics - Open, June 2019
DOI 10.1007/s41669-019-0156-x
Authors

Zhuo T. Su, Jose Bartelt-Hofer, Stephen Brown, Elisheva Lew, Luc Sauriol, Lieven Annemans, Daniel T. Grima

Mendeley readers

The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 4 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 1 25%
Student > Master 1 25%
Unknown 2 50%
Readers by discipline Count As %
Medicine and Dentistry 2 50%
Unknown 2 50%

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 28 June 2019.
All research outputs
#12,516,143
of 14,158,129 outputs
Outputs from PharmacoEconomics - Open
#131
of 187 outputs
Outputs of similar age
#213,139
of 256,014 outputs
Outputs of similar age from PharmacoEconomics - Open
#14
of 27 outputs
Altmetric has tracked 14,158,129 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 187 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 256,014 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 27 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.