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Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support

Overview of attention for article published in Implementation Science, May 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
183 Mendeley
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Title
Social networks, work and network-based resources for the management of long-term conditions: a framework and study protocol for developing self-care support
Published in
Implementation Science, May 2011
DOI 10.1186/1748-5908-6-56
Pubmed ID
Authors

Anne Rogers, Ivaylo Vassilev, Caroline Sanders, Susan Kirk, Carolyn Chew-Graham, Anne Kennedy, Joanne Protheroe, Peter Bower, Christian Blickem, David Reeves, Dharmi Kapadia, Helen Brooks, Catherine Fullwood, Gerry Richardson

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 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 2%
United States 1 <1%
France 1 <1%
Unknown 178 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 47 26%
Researcher 27 15%
Student > Master 17 9%
Other 14 8%
Student > Doctoral Student 13 7%
Other 37 20%
Unknown 28 15%
Readers by discipline Count As %
Social Sciences 46 25%
Medicine and Dentistry 30 16%
Nursing and Health Professions 18 10%
Psychology 18 10%
Business, Management and Accounting 8 4%
Other 28 15%
Unknown 35 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 10 November 2019.
All research outputs
#4,795,150
of 23,743,910 outputs
Outputs from Implementation Science
#893
of 1,736 outputs
Outputs of similar age
#23,748
of 113,038 outputs
Outputs of similar age from Implementation Science
#5
of 22 outputs
Altmetric has tracked 23,743,910 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 48th percentile – i.e., 48% 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 113,038 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.