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Step counter use in type 2 diabetes: a meta-analysis of randomized controlled trials

Overview of attention for article published in BMC Medicine, February 2014
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)

Mentioned by

blogs
1 blog
twitter
14 tweeters

Citations

dimensions_citation
38 Dimensions

Readers on

mendeley
59 Mendeley
Title
Step counter use in type 2 diabetes: a meta-analysis of randomized controlled trials
Published in
BMC Medicine, February 2014
DOI 10.1186/1741-7015-12-36
Pubmed ID
Authors

Shanhu Qiu, Xue Cai, Xiang Chen, Bingquan Yang, Zilin Sun

Abstract

While step counter use has become popular among type 2 diabetes (T2D) patients, its effectiveness in increasing physical activity (PA) and improving glycemic control has been poorly defined. The aim of this meta-analysis of randomized controlled trials (RCTs) was to evaluate the association of step counter use with PA and glycemic control in T2D patients.

Twitter Demographics

The data shown below were collected from the profiles of 14 tweeters 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 59 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Indonesia 1 2%
Canada 1 2%
Unknown 57 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 10 17%
Researcher 6 10%
Student > Postgraduate 5 8%
Student > Doctoral Student 4 7%
Other 9 15%
Unknown 10 17%
Readers by discipline Count As %
Medicine and Dentistry 20 34%
Nursing and Health Professions 6 10%
Computer Science 5 8%
Sports and Recreations 4 7%
Engineering 2 3%
Other 9 15%
Unknown 13 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 16. 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 14 November 2014.
All research outputs
#1,002,603
of 13,493,721 outputs
Outputs from BMC Medicine
#812
of 2,141 outputs
Outputs of similar age
#16,712
of 187,759 outputs
Outputs of similar age from BMC Medicine
#1
of 1 outputs
Altmetric has tracked 13,493,721 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,141 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 34.8. This one has gotten more attention than average, scoring higher than 62% 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 187,759 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them