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Attention Score in Context
Title |
Hierarchical cluster analysis of labour market regulations and population health: a taxonomy of low- and middle-income countries
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Published in |
BMC Public Health, April 2012
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DOI | 10.1186/1471-2458-12-286 |
Pubmed ID | |
Authors |
Carles Muntaner, Haejoo Chung, Joan Benach, Edwin Ng |
Abstract |
An important contribution of the social determinants of health perspective has been to inquire about non-medical determinants of population health. Among these, labour market regulations are of vital significance. In this study, we investigate the labour market regulations among low- and middle-income countries (LMICs) and propose a labour market taxonomy to further understand population health in a global context. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Canada | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 1 | <1% |
Mexico | 1 | <1% |
Netherlands | 1 | <1% |
Ghana | 1 | <1% |
Unknown | 112 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 28 | 24% |
Student > Ph. D. Student | 13 | 11% |
Student > Doctoral Student | 11 | 9% |
Researcher | 9 | 8% |
Student > Bachelor | 6 | 5% |
Other | 23 | 20% |
Unknown | 26 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 31 | 27% |
Social Sciences | 23 | 20% |
Nursing and Health Professions | 9 | 8% |
Computer Science | 5 | 4% |
Economics, Econometrics and Finance | 5 | 4% |
Other | 12 | 10% |
Unknown | 31 | 27% |
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 01 June 2022.
All research outputs
#7,080,348
of 24,622,191 outputs
Outputs from BMC Public Health
#7,498
of 16,283 outputs
Outputs of similar age
#45,521
of 165,786 outputs
Outputs of similar age from BMC Public Health
#81
of 193 outputs
Altmetric has tracked 24,622,191 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 16,283 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.4. This one has gotten more attention than average, scoring higher than 52% 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 165,786 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 70% of its contemporaries.
We're also able to compare this research output to 193 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 55% of its contemporaries.