Report for: Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus

Title	Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus
Published in	Cochrane database of systematic reviews, March 2013
DOI	10.1002/14651858.cd008776.pub2
Pubmed ID	23543567
Authors	Kingshuk Pal, Sophie V Eastwood, Susan Michie, Andrew J Farmer, Maria L Barnard, Richard Peacock, Bindie Wood, Joni D Inniss, Elizabeth Murray
Abstract	Diabetes is one of the commonest chronic medical conditions, affecting around 347 million adults worldwide. Structured patient education programmes reduce the risk of diabetes-related complications four-fold. Internet-based self-management programmes have been shown to be effective for a number of long-term conditions, but it is unclear what are the essential or effective components of such programmes. If computer-based self-management interventions improve outcomes in type 2 diabetes, they could potentially provide a cost-effective option for reducing the burdens placed on patients and healthcare systems by this long-term condition.

View on publisher site Alert me about new mentions

Twitter Demographics

The data shown below were collected from the profiles of 62 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Geographical breakdown

Country	Count	As %
Spain	12	19%
United Kingdom	10	16%
United States	8	13%
Netherlands	3	5%
Canada	1	2%
Chile	1	2%
New Zealand	1	2%
Australia	1	2%
Germany	1	2%
Other	5	8%
Unknown	19	31%

Demographic breakdown

Type	Count	As %
Members of the public	43	69%
Scientists	10	16%
Practitioners (doctors, other healthcare professionals)	8	13%
Science communicators (journalists, bloggers, editors)	1	2%

Mendeley readers

The data shown below were compiled from readership statistics for 1,234 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country	Count	As %
United Kingdom	10	<1%
United States	4	<1%
Spain	3	<1%
Ireland	2	<1%
Netherlands	2	<1%
Germany	2	<1%
Portugal	2	<1%
Italy	2	<1%
Australia	1	<1%
Other	6	<1%
Unknown	1200	97%

Demographic breakdown

Readers by professional status	Count	As %
Student > Master	205	17%
Researcher	168	14%
Student > Ph. D. Student	152	12%
Student > Bachelor	149	12%
Student > Doctoral Student	75	6%
Other	236	19%
Unknown	249	20%

Readers by discipline	Count	As %
Medicine and Dentistry	377	31%
Nursing and Health Professions	190	15%
Psychology	108	9%
Social Sciences	56	5%
Computer Science	40	3%
Other	176	14%
Unknown	287	23%

Attention Score in Context

This research output has an Altmetric Attention Score of 77. 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 05 December 2021.

All research outputs

#500,692

of 23,802,430 outputs

Outputs from Cochrane database of systematic reviews

#932

of 12,759 outputs

Outputs of similar age

#3,394

of 199,700 outputs

Outputs of similar age from Cochrane database of systematic reviews

#16

of 215 outputs

Altmetric has tracked 23,802,430 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.

So far Altmetric has tracked 12,759 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 33.6. This one has done particularly well, scoring higher than 92% 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 199,700 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 98% of its contemporaries.

We're also able to compare this research output to 215 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 93% of its contemporaries.

Cochrane Database of Systematic Reviews

Computer-based diabetes self-management interventions for adults with type 2 diabetes mellitus

About this Attention Score

Mentioned by

Citations

Readers on

Twitter Demographics

Geographical breakdown

Demographic breakdown

Mendeley readers

Geographical breakdown

Demographic breakdown

Attention Score in Context