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Influence of patient characteristics on perceived risks and willingness to take a proposed anti-rheumatic drug

Overview of attention for article published in BMC Medical Informatics and Decision Making, August 2013
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Mentioned by

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4 X users

Citations

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19 Dimensions

Readers on

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89 Mendeley
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Title
Influence of patient characteristics on perceived risks and willingness to take a proposed anti-rheumatic drug
Published in
BMC Medical Informatics and Decision Making, August 2013
DOI 10.1186/1472-6947-13-89
Pubmed ID
Authors

Richard W Martin, Kelsey McCallops, Andrew J Head, Aaron T Eggebeen, James D Birmingham, Donald J Tellinghuisen

Abstract

The causes of the underutilization of disease modifying anti-rheumatic drugs (DMARDS) for rheumatoid arthritis (RA) are not fully known, but may in part, relate to individual patient factors including risk perception. Our objective was to identify the determinants of risk perception (RP) in RA patients and predictors of their willingness to take a proposed DMARD (DMARD willingness).

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 2%
United States 1 1%
Unknown 86 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 21%
Student > Master 17 19%
Researcher 14 16%
Student > Doctoral Student 7 8%
Student > Bachelor 5 6%
Other 16 18%
Unknown 11 12%
Readers by discipline Count As %
Medicine and Dentistry 27 30%
Psychology 18 20%
Nursing and Health Professions 5 6%
Neuroscience 4 4%
Social Sciences 4 4%
Other 14 16%
Unknown 17 19%
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 August 2013.
All research outputs
#13,893,979
of 22,716,996 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,064
of 1,982 outputs
Outputs of similar age
#108,512
of 197,307 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#24
of 41 outputs
Altmetric has tracked 22,716,996 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% 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 44th percentile – i.e., 44% 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 197,307 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 41 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.