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The experiential health information processing model: supporting collaborative web-based patient education

Overview of attention for article published in BMC Medical Informatics and Decision Making, December 2008
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Mentioned by

twitter
3 X users

Citations

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39 Dimensions

Readers on

mendeley
122 Mendeley
citeulike
3 CiteULike
connotea
1 Connotea
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Title
The experiential health information processing model: supporting collaborative web-based patient education
Published in
BMC Medical Informatics and Decision Making, December 2008
DOI 10.1186/1472-6947-8-58
Pubmed ID
Authors

Laura A O'Grady, Holly Witteman, C Nadine Wathen

Abstract

First generation Internet technologies such as mailing lists or newsgroups afforded unprecedented levels of information exchange within a variety of interest groups, including those who seek health information. With emergence of the World Wide Web many communication applications were ported to web browsers. One of the driving factors in this phenomenon has been the exchange of experiential or anecdotal knowledge that patients share online, and there is emerging evidence that participation in these forums may be having an impact on people's health decision making. Theoretical frameworks supporting this form of information seeking and learning have yet to be proposed.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 122 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Canada 3 2%
Australia 2 2%
United States 2 2%
New Zealand 1 <1%
United Kingdom 1 <1%
Denmark 1 <1%
Poland 1 <1%
Unknown 111 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 25 20%
Student > Master 23 19%
Student > Ph. D. Student 20 16%
Student > Doctoral Student 10 8%
Librarian 9 7%
Other 26 21%
Unknown 9 7%
Readers by discipline Count As %
Medicine and Dentistry 29 24%
Social Sciences 24 20%
Computer Science 16 13%
Business, Management and Accounting 8 7%
Psychology 7 6%
Other 23 19%
Unknown 15 12%
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 30 April 2014.
All research outputs
#14,151,132
of 22,678,224 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,102
of 1,979 outputs
Outputs of similar age
#137,768
of 167,160 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#6
of 11 outputs
Altmetric has tracked 22,678,224 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 1,979 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 167,160 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 11 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.