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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Quality of life assessment in musculo-skeletal health
|
|---|---|
| Published in |
Aging Clinical and Experimental Research, June 2017
|
| DOI | 10.1007/s40520-017-0794-8 |
| Pubmed ID | |
| Authors |
Charlotte Beaudart, Emmanuel Biver, Olivier Bruyère, Cyrus Cooper, Nasser Al-Daghri, Jean-Yves Reginster, René Rizzoli |
| Abstract |
Musculoskeletal disorders affect morbidity, quality of life and mortality, and represent an increasing economic and societal burden in the context of population aging and increased life expectancy. Improvement of quality of life should be one of the priorities of any interventions to prevent and treat musculoskeletal disorders in the ageing population. Two main approaches, namely generic and disease-specific instruments, can be applied to measure health-related quality of life. Among the generic tools available in scientific literature, the short form 36 questionnaire (SF-36) and the Euroqol five item questionnaire (EQ-5D) are two of the most popular questionnaires used to quantify the health related quality of life in people with musculoskeletal disorders. However, because generic tools may not always be able to detect subtle effects of a specific condition on quality of life, a specific tool is highly valuable. Specific tools improve the ability to clinically characterize quality of life in subjects with a specific musculoskeletal disorder, as well as the capacity to assess changes over time in the QoL of these subjects. The recent development of specific tools should help to validate preventive and therapeutic interventions in this field. |
X Demographics
The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 4 | 19% |
| France | 4 | 19% |
| United Kingdom | 3 | 14% |
| Belgium | 2 | 10% |
| Canada | 1 | 5% |
| United States | 1 | 5% |
| Unknown | 6 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 38% |
| Scientists | 8 | 38% |
| Practitioners (doctors, other healthcare professionals) | 5 | 24% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 214 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 26 | 12% |
| Student > Bachelor | 21 | 10% |
| Researcher | 19 | 9% |
| Student > Ph. D. Student | 19 | 9% |
| Student > Doctoral Student | 13 | 6% |
| Other | 28 | 13% |
| Unknown | 88 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 52 | 24% |
| Nursing and Health Professions | 16 | 7% |
| Sports and Recreations | 9 | 4% |
| Engineering | 7 | 3% |
| Agricultural and Biological Sciences | 6 | 3% |
| Other | 28 | 13% |
| Unknown | 96 | 45% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 20 April 2018.
All research outputs
#3,076,181
of 25,382,440 outputs
Outputs from Aging Clinical and Experimental Research
#215
of 1,867 outputs
Outputs of similar age
#54,387
of 328,273 outputs
Outputs of similar age from Aging Clinical and Experimental Research
#3
of 26 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,867 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.9. 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 328,273 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 83% of its contemporaries.
We're also able to compare this research output to 26 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.