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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A tailored, dialogue-based health communication application for patients with chronic low back pain: study protocol of a randomised controlled trial
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, June 2013
|
| DOI | 10.1186/1472-6947-13-66 |
| Pubmed ID | |
| Authors |
Jörg Dirmaier, Martin Härter, Nina Weymann |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 1% |
| United States | 1 | <1% |
| Germany | 1 | <1% |
| Unknown | 144 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 22 | 15% |
| Researcher | 18 | 12% |
| Student > Ph. D. Student | 18 | 12% |
| Student > Bachelor | 14 | 9% |
| Student > Doctoral Student | 10 | 7% |
| Other | 30 | 20% |
| Unknown | 36 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 35 | 24% |
| Nursing and Health Professions | 29 | 20% |
| Psychology | 8 | 5% |
| Social Sciences | 6 | 4% |
| Unspecified | 6 | 4% |
| Other | 19 | 13% |
| Unknown | 45 | 30% |
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 08 August 2013.
All research outputs
#14,171,441
of 22,712,476 outputs
Outputs from BMC Medical Informatics and Decision Making
#1,102
of 1,981 outputs
Outputs of similar age
#112,110
of 197,989 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#19
of 23 outputs
Altmetric has tracked 22,712,476 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,981 research outputs from this source. They receive a mean Attention Score of 4.9. This one is in the 38th percentile – i.e., 38% 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 197,989 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.