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Mendeley readers
Attention Score in Context
| Title |
Predictive risk modelling in the Spanish population: a cross-sectional study
|
|---|---|
| Published in |
BMC Health Services Research, July 2013
|
| DOI | 10.1186/1472-6963-13-269 |
| Pubmed ID | |
| Authors |
Juan F Orueta, Roberto Nuño-Solinis, Maider Mateos, Itziar Vergara, Gonzalo Grandes, Santiago Esnaola |
| Abstract |
An increase in chronic conditions is currently the greatest threat to human health and to the sustainability of health systems. Risk adjustment systems may enable population stratification programmes to be developed and become instrumental in implementing new models of care.The objectives of this study are to evaluate the capability of ACG-PM, DCG-HCC and CRG-based models to predict healthcare costs and identify patients that will be high consumers and to analyse changes to predictive capacity when socio-economic variables are added. |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 50% |
| Mexico | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Spain | 1 | 1% |
| Netherlands | 1 | 1% |
| Unknown | 83 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 23% |
| Student > Master | 12 | 14% |
| Student > Doctoral Student | 10 | 11% |
| Student > Ph. D. Student | 10 | 11% |
| Other | 7 | 8% |
| Other | 10 | 11% |
| Unknown | 18 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 30 | 34% |
| Nursing and Health Professions | 6 | 7% |
| Economics, Econometrics and Finance | 6 | 7% |
| Social Sciences | 5 | 6% |
| Engineering | 4 | 5% |
| Other | 11 | 13% |
| Unknown | 25 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 01 October 2021.
All research outputs
#4,799,076
of 23,862,416 outputs
Outputs from BMC Health Services Research
#2,261
of 8,042 outputs
Outputs of similar age
#39,291
of 197,370 outputs
Outputs of similar age from BMC Health Services Research
#19
of 125 outputs
Altmetric has tracked 23,862,416 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,042 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 71% 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 197,370 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 80% of its contemporaries.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.