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Diabetes-related information-seeking behaviour: a systematic review

Overview of attention for article published in Systematic Reviews, October 2017
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  • Above-average Attention Score compared to outputs of the same age (63rd percentile)
  • Average Attention Score compared to outputs of the same age and source

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6 X users

Citations

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49 Dimensions

Readers on

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169 Mendeley
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Title
Diabetes-related information-seeking behaviour: a systematic review
Published in
Systematic Reviews, October 2017
DOI 10.1186/s13643-017-0602-8
Pubmed ID
Authors

Silke Kuske, Tim Schiereck, Sandra Grobosch, Andrea Paduch, Sigrid Droste, Sarah Halbach, Andrea Icks

Abstract

Information-seeking behaviour is necessary to improve knowledge on diabetes therapy and complications. Combined with other self-management skills and autonomous handling of the disease, it is essential for achieving treatment targets. However, a systematic review addressing this topic is lacking. The aims of this systematic review were to identify and analyse existing knowledge of information-seeking behaviour: (1) types information-seeking behaviour, (2) information sources, (3) the content of searched information, and (4) associated variables that may affect information-seeking behaviour. The systematic review follows the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) requirements. MEDLINE, CINAHL, EMBASE, ScienceDirect, PsycInfo, Cochrane Library, Web of Science, CCMed, ERIC, Journals@OVID, Deutsches Ärzteblatt and Karlsruher virtueller Katalog (KvK) databases were searched. Publications dealing with information-seeking behaviour of people with diabetes mellitus published up to June 2015 were included. A forward citation tracking was performed in September 2016 and June 2017. Additionally, an update of the two main databases (MEDLINE, CINAHL) was conducted, considering studies published up to July 2017. Studies published in languages other than English or German were excluded, as well as letters, short reports, editorials, comments and discussion papers. A study selection and the critical appraisal of the selected studies were performed independently by two reviewers. A third reviewer was consulted if any disagreement was found. Data extraction and content analysis were performed using selected dimensions of Wilson's 'model of information behaviour'. Twenty-six studies were included. Five 'types of information-seeking behaviour' were identified, e.g. passive and active search. The 'Internet' and 'healthcare professionals' were the most frequently reported sources. 'Diet', 'complications', 'exercise' and 'medications and pharmacological interactions' were the most frequently identified content of information. Seven main categories including associated variables were identified, e.g. 'socioeconomic', 'duration of DM', and 'lifestyle'. The systematic review provides a valuable overview of available knowledge on the information-seeking behaviour of people with diabetes mellitus, although there are only a few studies. There was a high heterogeneity regarding the research question, design, methods and participants. Although the Internet is often used to seek information, health professionals still play an important role in supporting their patients' information-seeking behaviour. Specific needs of people with diabetes must be taken into consideration. PROSPERO CRD42016037312.

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The data shown below were collected from the profiles of 6 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 169 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 169 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 24 14%
Student > Bachelor 20 12%
Researcher 14 8%
Student > Ph. D. Student 13 8%
Lecturer 11 7%
Other 36 21%
Unknown 51 30%
Readers by discipline Count As %
Medicine and Dentistry 27 16%
Nursing and Health Professions 25 15%
Social Sciences 20 12%
Computer Science 11 7%
Psychology 5 3%
Other 24 14%
Unknown 57 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 07 October 2021.
All research outputs
#7,227,053
of 23,008,860 outputs
Outputs from Systematic Reviews
#1,281
of 2,005 outputs
Outputs of similar age
#118,592
of 327,747 outputs
Outputs of similar age from Systematic Reviews
#23
of 46 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 2,005 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.8. This one is in the 35th percentile – i.e., 35% 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 327,747 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 63% of its contemporaries.
We're also able to compare this research output to 46 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 50% of its contemporaries.