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Mendeley readers
Attention Score in Context
| Title |
Identifying covariates of population health using extreme bound analysis
|
|---|---|
| Published in |
HEPAC Health Economics in Prevention and Care, June 2013
|
| DOI | 10.1007/s10198-013-0492-1 |
| Pubmed ID | |
| Authors |
Fabrizio Carmignani, Sriram Shankar, Eng Joo Tan, Kam Ki Tang |
| Abstract |
The literature is full of lively discussion on the determinants of population health outcomes. However, different papers focus on small and different sets of variables according to their research agenda. Because many of these variables are measures of different aspects of development and are thus correlated, the results for one variable can be sensitive to the inclusion/exclusion of others. |
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 % |
|---|---|---|
| Spain | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 3% |
| Unknown | 34 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 11 | 31% |
| Student > Master | 7 | 20% |
| Student > Bachelor | 4 | 11% |
| Student > Doctoral Student | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 3 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 9 | 26% |
| Economics, Econometrics and Finance | 7 | 20% |
| Social Sciences | 5 | 14% |
| Environmental Science | 3 | 9% |
| Business, Management and Accounting | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 3 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 August 2022.
All research outputs
#7,960,512
of 25,374,917 outputs
Outputs from HEPAC Health Economics in Prevention and Care
#533
of 1,303 outputs
Outputs of similar age
#65,282
of 210,335 outputs
Outputs of similar age from HEPAC Health Economics in Prevention and Care
#7
of 25 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 1,303 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has gotten more attention than average, scoring higher than 57% 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 210,335 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 67% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 64% of its contemporaries.