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Person-centred web-based support - development through a Swedish multi-case study

Overview of attention for article published in BMC Medical Informatics and Decision Making, October 2013
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Title
Person-centred web-based support - development through a Swedish multi-case study
Published in
BMC Medical Informatics and Decision Making, October 2013
DOI 10.1186/1472-6947-13-119
Pubmed ID
Authors

Ulrika Josefsson, Marie Berg, Ingalill Koinberg, Anna-Lena Hellström, Margaretha Jenholt Nolbris, Agneta Ranerup, Carina Sparud Lundin, Ingela Skärsäter

Abstract

Departing from the widespread use of the internet in modern society and the emerging use of web applications in healthcare this project captures persons' needs and expectations in order to develop highly usable web recourses. The purpose of this paper is to outline a multi-case research project focused on the development and evaluation of person-centred web-based support for people with long-term illness. To support the underlying idea to move beyond the illness, we approach the development of web support from the perspective of the emergent area of person-centred care. The project aims to contribute to the ongoing development of web-based supports in health care and to the emerging field of person-centred care.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 1%
Mexico 1 1%
United States 1 1%
Unknown 84 97%

Demographic breakdown

Readers by professional status Count As %
Student > Master 18 21%
Student > Ph. D. Student 16 18%
Researcher 9 10%
Student > Bachelor 6 7%
Student > Doctoral Student 4 5%
Other 11 13%
Unknown 23 26%
Readers by discipline Count As %
Medicine and Dentistry 14 16%
Nursing and Health Professions 13 15%
Psychology 12 14%
Computer Science 5 6%
Social Sciences 3 3%
Other 11 13%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 21 October 2013.
All research outputs
#14,636,949
of 22,727,570 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,212
of 1,984 outputs
Outputs of similar age
#124,017
of 211,634 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#30
of 44 outputs
Altmetric has tracked 22,727,570 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,984 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 211,634 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.