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Portals to Wonderland: Health portals lead to confusing information about the effects of health care

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2005
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3 X users

Citations

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53 Dimensions

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40 Mendeley
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Title
Portals to Wonderland: Health portals lead to confusing information about the effects of health care
Published in
BMC Medical Informatics and Decision Making, March 2005
DOI 10.1186/1472-6947-5-7
Pubmed ID
Authors

Claire Glenton, Elizabeth J Paulsen, Andrew D Oxman

Abstract

The Internet offers a seemingly endless amount of health information of varying quality. Health portals, which provide entry points to quality-controlled collections of websites, have been hailed as a solution to this problem. The objective of this study is to assess the extent to which government-run health portals provide access to relevant, valid and understandable information about the effects of health care.

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

Geographical breakdown

Country Count As %
Spain 1 3%
Latvia 1 3%
United States 1 3%
Norway 1 3%
Unknown 36 90%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 20%
Student > Master 8 20%
Student > Ph. D. Student 5 13%
Professor 4 10%
Student > Bachelor 2 5%
Other 8 20%
Unknown 5 13%
Readers by discipline Count As %
Medicine and Dentistry 12 30%
Business, Management and Accounting 4 10%
Computer Science 4 10%
Psychology 4 10%
Nursing and Health Professions 3 8%
Other 6 15%
Unknown 7 18%
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 31 July 2013.
All research outputs
#13,691,082
of 22,715,151 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,042
of 1,982 outputs
Outputs of similar age
#52,015
of 59,138 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#1
of 4 outputs
Altmetric has tracked 22,715,151 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,982 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 46th percentile – i.e., 46% 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 59,138 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them