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User-centered design of a web-based self-management site for individuals with type 2 diabetes – providing a sense of control and community

Overview of attention for article published in BMC Medical Informatics and Decision Making, July 2014
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
45 Dimensions

Readers on

mendeley
202 Mendeley
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Title
User-centered design of a web-based self-management site for individuals with type 2 diabetes – providing a sense of control and community
Published in
BMC Medical Informatics and Decision Making, July 2014
DOI 10.1186/1472-6947-14-60
Pubmed ID
Authors

Catherine H Yu, Janet A Parsons, Susan Hall, David Newton, Aleksandra Jovicic, Danielle Lottridge, Baiju R Shah, Sharon E Straus

Abstract

To design and test a web-based self-management tool for patients with type 2 diabetes for its usability and feasibility.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 202 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 <1%
Indonesia 1 <1%
Ghana 1 <1%
Brazil 1 <1%
Australia 1 <1%
Mexico 1 <1%
United States 1 <1%
Unknown 194 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 42 21%
Student > Master 36 18%
Researcher 26 13%
Student > Bachelor 21 10%
Student > Doctoral Student 18 9%
Other 30 15%
Unknown 29 14%
Readers by discipline Count As %
Medicine and Dentistry 38 19%
Nursing and Health Professions 26 13%
Psychology 25 12%
Computer Science 22 11%
Social Sciences 14 7%
Other 35 17%
Unknown 42 21%
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 20 November 2017.
All research outputs
#7,444,997
of 22,758,963 outputs
Outputs from BMC Medical Informatics and Decision Making
#763
of 1,985 outputs
Outputs of similar age
#73,461
of 228,654 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#15
of 33 outputs
Altmetric has tracked 22,758,963 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,985 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 58% 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 228,654 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 56% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.