Title |
The over time development of chronic illness self-management patterns: a longitudinal qualitative study
|
---|---|
Published in |
BMC Public Health, May 2013
|
DOI | 10.1186/1471-2458-13-452 |
Pubmed ID | |
Authors |
Åsa Audulv |
Abstract |
There currently exists a vast amount of literature concerning chronic illness self-management, however the developmental patterns and sustainability of self-management over time remain largely unknown. This paper aims to describe the patterns by which different chronic illness self-management behaviors develop and are maintained over time. |
X Demographics
The data shown below were collected from the profiles of 24 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 6 | 25% |
Canada | 3 | 13% |
United States | 2 | 8% |
Switzerland | 1 | 4% |
Sweden | 1 | 4% |
Spain | 1 | 4% |
Chile | 1 | 4% |
Venezuela, Bolivarian Republic of | 1 | 4% |
Unknown | 8 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 58% |
Practitioners (doctors, other healthcare professionals) | 5 | 21% |
Scientists | 4 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 198 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | <1% |
Indonesia | 1 | <1% |
Sweden | 1 | <1% |
United Kingdom | 1 | <1% |
Romania | 1 | <1% |
United States | 1 | <1% |
Unknown | 192 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 35 | 18% |
Student > Master | 31 | 16% |
Researcher | 25 | 13% |
Student > Bachelor | 21 | 11% |
Student > Doctoral Student | 16 | 8% |
Other | 43 | 22% |
Unknown | 27 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Nursing and Health Professions | 50 | 25% |
Medicine and Dentistry | 34 | 17% |
Social Sciences | 30 | 15% |
Psychology | 18 | 9% |
Agricultural and Biological Sciences | 5 | 3% |
Other | 27 | 14% |
Unknown | 34 | 17% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 02 September 2016.
All research outputs
#2,477,995
of 25,078,088 outputs
Outputs from BMC Public Health
#2,889
of 16,723 outputs
Outputs of similar age
#20,112
of 198,308 outputs
Outputs of similar age from BMC Public Health
#38
of 291 outputs
Altmetric has tracked 25,078,088 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 16,723 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has done well, scoring higher than 82% 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 198,308 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 89% of its contemporaries.
We're also able to compare this research output to 291 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.