| Title |
Comparative anti-fracture effectiveness of different oral anti-osteoporosis therapies based on “real-world” data: a meta-analysis of propensity-matched cohort findings from the UK Clinical Practice Research Database and the Catalan SIDIAP Database
|
|---|---|
| Published in |
Clinical Epidemiology, October 2018
|
| DOI | 10.2147/clep.s164112 |
| Pubmed ID | |
| Authors |
Sara Khalid, Sara Calderon-Larrañaga, Samuel Hawley, M Sanni Ali, Andrew Judge, Nigel Arden, Tjeerd van Staa, Cyrus Cooper, Muhammad Kassim Javaid, Daniel Prieto-Alhambra |
X Demographics
The data shown below were collected from the profiles of 12 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 States | 2 | 17% |
| United Kingdom | 1 | 8% |
| Unknown | 9 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 58% |
| Practitioners (doctors, other healthcare professionals) | 3 | 25% |
| Scientists | 2 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 18% |
| Student > Ph. D. Student | 10 | 14% |
| Researcher | 9 | 12% |
| Other | 8 | 11% |
| Student > Doctoral Student | 4 | 5% |
| Other | 12 | 16% |
| Unknown | 17 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 24 | 33% |
| Pharmacology, Toxicology and Pharmaceutical Science | 8 | 11% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Nursing and Health Professions | 4 | 5% |
| Economics, Econometrics and Finance | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 23 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 16 April 2019.
All research outputs
#2,231,062
of 25,853,983 outputs
Outputs from Clinical Epidemiology
#91
of 803 outputs
Outputs of similar age
#45,105
of 356,671 outputs
Outputs of similar age from Clinical Epidemiology
#5
of 42 outputs
Altmetric has tracked 25,853,983 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 803 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 88% of its peers.
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 356,671 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 42 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.