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X Demographics
Mendeley readers
Attention Score in Context
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
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 25% |
Canada | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 50% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Science communicators (journalists, bloggers, editors) | 1 | 25% |
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
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.