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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying the theory of planned behaviour to multiple sclerosis patients’ decisions on disease modifying therapy – questionnaire concept and validation
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, July 2012
|
| DOI | 10.1186/1472-6947-12-60 |
| Pubmed ID | |
| Authors |
Jürgen Kasper, Sascha Köpke, Korbinian Fischer, Nina Schäffler, Imke Backhus, Alessandra Solari, Christoph Heesen |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 87 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 20% |
| Student > Master | 15 | 17% |
| Researcher | 10 | 11% |
| Student > Bachelor | 5 | 6% |
| Professor > Associate Professor | 4 | 5% |
| Other | 14 | 16% |
| Unknown | 22 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 14 | 16% |
| Psychology | 14 | 16% |
| Nursing and Health Professions | 12 | 14% |
| Social Sciences | 9 | 10% |
| Computer Science | 3 | 3% |
| Other | 11 | 13% |
| Unknown | 25 | 28% |
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 04 July 2012.
All research outputs
#19,171,898
of 23,758,334 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,607
of 2,032 outputs
Outputs of similar age
#128,196
of 165,764 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#49
of 52 outputs
Altmetric has tracked 23,758,334 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,032 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 9th percentile – i.e., 9% 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 165,764 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.