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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A knowledge translation tool improved osteoporosis disease management in primary care: an interrupted time series analysis
|
|---|---|
| Published in |
Implementation Science, September 2014
|
| DOI | 10.1186/s13012-014-0109-9 |
| Pubmed ID | |
| Authors |
Monika Kastner, Anna M Sawka, Jemila Hamid, Maggie Chen, Kevin Thorpe, Mark Chignell, Joycelyne Ewusie, Christine Marquez, David Newton, Sharon E Straus |
| Abstract |
Osteoporosis affects over 200 million people worldwide at a high cost to healthcare systems, yet gaps in management still exist. In response, we developed a multi-component osteoporosis knowledge translation (Op-KT) tool involving a patient-initiated risk assessment questionnaire (RAQ), which generates individualized best practice recommendations for physicians and customized education for patients at the point of care. The objective of this study was to evaluate the effectiveness of the Op-KT tool for appropriate disease management by physicians. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 1% |
| Unknown | 77 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 15 | 19% |
| Student > Ph. D. Student | 10 | 13% |
| Student > Bachelor | 8 | 10% |
| Researcher | 8 | 10% |
| Other | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 17 | 22% |
| Nursing and Health Professions | 8 | 10% |
| Psychology | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Economics, Econometrics and Finance | 3 | 4% |
| Other | 18 | 23% |
| Unknown | 25 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 September 2014.
All research outputs
#13,487,496
of 23,743,910 outputs
Outputs from Implementation Science
#1,335
of 1,736 outputs
Outputs of similar age
#116,614
of 253,694 outputs
Outputs of similar age from Implementation Science
#36
of 61 outputs
Altmetric has tracked 23,743,910 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,736 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.7. This one is in the 21st percentile – i.e., 21% 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 253,694 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.