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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Comparative assessment of three different indices of multimorbidity for studies on health-related quality of life
|
|---|---|
| Published in |
Health and Quality of Life Outcomes, November 2005
|
| DOI | 10.1186/1477-7525-3-74 |
| Pubmed ID | |
| Authors |
Martin Fortin, Catherine Hudon, Marie-France Dubois, José Almirall, Lise Lapointe, Hassan Soubhi |
| Abstract |
Measures of multimorbidity are often applied to source data, populations or outcomes outside the scope of their original developmental work. As the development of a multimorbidity measure is influenced by the population and outcome used, these influences should be taken into account when selecting a multimorbidity index. The aim of this study was to compare the strength of the association of health-related quality of life (HRQOL) with three multimorbidity indices: the Cumulative Illness Rating Scale (CIRS), the Charlson index (Charlson) and the Functional Comorbidity Index (FCI). The first two indices were not developed in light of HRQOL. |
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 % |
|---|---|---|
| Canada | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 183 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| France | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| Canada | 1 | <1% |
| Denmark | 1 | <1% |
| Nigeria | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 175 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 41 | 22% |
| Researcher | 24 | 13% |
| Student > Doctoral Student | 16 | 9% |
| Student > Master | 15 | 8% |
| Professor | 13 | 7% |
| Other | 44 | 24% |
| Unknown | 30 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 89 | 49% |
| Nursing and Health Professions | 13 | 7% |
| Psychology | 9 | 5% |
| Social Sciences | 9 | 5% |
| Agricultural and Biological Sciences | 4 | 2% |
| Other | 14 | 8% |
| Unknown | 45 | 25% |
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 10 November 2013.
All research outputs
#15,284,663
of 22,729,647 outputs
Outputs from Health and Quality of Life Outcomes
#1,301
of 2,156 outputs
Outputs of similar age
#123,452
of 145,923 outputs
Outputs of similar age from Health and Quality of Life Outcomes
#7
of 8 outputs
Altmetric has tracked 22,729,647 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,156 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 32nd percentile – i.e., 32% 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 145,923 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 5th percentile – i.e., 5% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.