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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

  • Good Attention Score compared to outputs of the same age (70th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

policy
1 policy source
twitter
1 tweeter

Citations

dimensions_citation
104 Dimensions

Readers on

mendeley
173 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

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 173 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 168 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 45 26%
Researcher 27 16%
Student > Master 17 10%
Other 14 8%
Student > Doctoral Student 12 7%
Other 32 18%
Unknown 26 15%
Readers by discipline Count As %
Social Sciences 46 27%
Medicine and Dentistry 30 17%
Psychology 18 10%
Nursing and Health Professions 16 9%
Business, Management and Accounting 8 5%
Other 23 13%
Unknown 32 18%

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 10 November 2019.
All research outputs
#5,235,051
of 17,365,229 outputs
Outputs from Implementation Science
#1,062
of 1,574 outputs
Outputs of similar age
#101,582
of 350,559 outputs
Outputs of similar age from Implementation Science
#10
of 13 outputs
Altmetric has tracked 17,365,229 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,574 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.1. This one is in the 31st percentile – i.e., 31% 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 350,559 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 70% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.