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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The less healthy urban population: income-related health inequality in China
|
|---|---|
| Published in |
BMC Public Health, September 2012
|
| DOI | 10.1186/1471-2458-12-804 |
| Pubmed ID | |
| Authors |
Wei Yang, Panos Kanavos |
| Abstract |
Health inequality has been recognized as a problem all over the world. In China, the poor usually have less access to healthcare than the better-off, despite having higher levels of need. Since the proportion of the Chinese population living in urban areas increased tremendously with the urbanization movements, attention has been paid to the association between urban/rural residence and population health. It is important to understand the variation in health across income groups, and in particular to take into account the effects of urban/rural residence on the degree of income-related health inequalities. |
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 % |
|---|---|---|
| United States | 2 | 50% |
| United Kingdom | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Scientists | 1 | 25% |
| Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | <1% |
| India | 1 | <1% |
| Portugal | 1 | <1% |
| Brazil | 1 | <1% |
| Unknown | 101 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 20% |
| Student > Bachelor | 16 | 15% |
| Student > Master | 15 | 14% |
| Student > Doctoral Student | 8 | 8% |
| Researcher | 7 | 7% |
| Other | 16 | 15% |
| Unknown | 22 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 21% |
| Social Sciences | 17 | 16% |
| Economics, Econometrics and Finance | 10 | 10% |
| Nursing and Health Professions | 9 | 9% |
| Agricultural and Biological Sciences | 5 | 5% |
| Other | 19 | 18% |
| Unknown | 23 | 22% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 03 October 2012.
All research outputs
#13,367,517
of 22,678,224 outputs
Outputs from BMC Public Health
#9,465
of 14,754 outputs
Outputs of similar age
#92,659
of 170,567 outputs
Outputs of similar age from BMC Public Health
#179
of 312 outputs
Altmetric has tracked 22,678,224 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,754 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 33rd percentile – i.e., 33% 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 170,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 312 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.