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Lead users’ ideas on core features to support physical activity in rheumatoid arthritis: a first step in the development of an internet service using participatory design

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2014
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Mentioned by

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1 X user
facebook
2 Facebook pages

Citations

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16 Dimensions

Readers on

mendeley
104 Mendeley
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Title
Lead users’ ideas on core features to support physical activity in rheumatoid arthritis: a first step in the development of an internet service using participatory design
Published in
BMC Medical Informatics and Decision Making, March 2014
DOI 10.1186/1472-6947-14-21
Pubmed ID
Authors

Åsa Revenäs, Christina H Opava, Pernilla Åsenlöf

Abstract

Despite the growing evidence of the benefits of physical activity (PA) in individuals with rheumatoid arthritis (RA), the majority is not physically active enough. An innovative strategy is to engage lead users in the development of PA interventions provided over the internet. The aim was to explore lead users' ideas and prioritization of core features in a future internet service targeting adoption and maintenance of healthy PA in people with RA.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 104 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
Colombia 1 <1%
Brazil 1 <1%
Australia 1 <1%
Sweden 1 <1%
United States 1 <1%
Unknown 97 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 18%
Student > Master 19 18%
Researcher 13 13%
Student > Bachelor 13 13%
Other 5 5%
Other 14 13%
Unknown 21 20%
Readers by discipline Count As %
Medicine and Dentistry 19 18%
Nursing and Health Professions 16 15%
Psychology 13 13%
Computer Science 7 7%
Social Sciences 6 6%
Other 17 16%
Unknown 26 25%
Attention Score in Context

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 23 October 2014.
All research outputs
#15,296,915
of 22,749,166 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,308
of 1,985 outputs
Outputs of similar age
#131,686
of 223,665 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#20
of 26 outputs
Altmetric has tracked 22,749,166 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% 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 is in the 24th percentile – i.e., 24% 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 223,665 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.