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Presenting evidence-based health information for people with multiple sclerosis: the IN-DEEP project protocol

Overview of attention for article published in BMC Medical Informatics and Decision Making, March 2012
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2 X users

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Title
Presenting evidence-based health information for people with multiple sclerosis: the IN-DEEP project protocol
Published in
BMC Medical Informatics and Decision Making, March 2012
DOI 10.1186/1472-6947-12-20
Pubmed ID
Authors

Sophie Hill, Graziella Filippini, Anneliese Synnot, Michael Summers, Deirdre Beecher, Cinzia Colombo, Paola Mosconi, Mario A Battaglia, Sue Shapland, Richard H Osborne, Melanie Hawkins

Abstract

Increasingly, evidence-based health information, in particular evidence from systematic reviews, is being made available to lay audiences, in addition to health professionals. Research efforts have focused on different formats for the lay presentation of health information. However, there is a paucity of data on how patients integrate evidence-based health information with other factors such as their preferences for information and experiences with information-seeking. The aim of this project is to explore how people with multiple sclerosis (MS) integrate health information with their needs, experiences, preferences and values and how these factors can be incorporated into an online resource of evidence-based health information provision for people with MS and their families.

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

Geographical breakdown

Country Count As %
United States 4 7%
Unknown 54 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 22%
Student > Master 9 16%
Researcher 7 12%
Student > Doctoral Student 5 9%
Librarian 4 7%
Other 12 21%
Unknown 8 14%
Readers by discipline Count As %
Medicine and Dentistry 18 31%
Psychology 8 14%
Nursing and Health Professions 5 9%
Computer Science 5 9%
Social Sciences 4 7%
Other 8 14%
Unknown 10 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 November 2013.
All research outputs
#15,242,707
of 22,663,969 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,305
of 1,978 outputs
Outputs of similar age
#101,283
of 158,021 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#23
of 35 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,978 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 24th percentile – i.e., 24% 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 158,021 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 35 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.