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Attention Score in Context
| Title |
Geographic distribution of hospital beds throughout China: a county-level econometric analysis
|
|---|---|
| Published in |
International Journal for Equity in Health, November 2016
|
| DOI | 10.1186/s12939-016-0467-9 |
| Pubmed ID | |
| Authors |
Jay Pan, David Shallcross |
| Abstract |
Geographical distribution of healthcare resources is an important dimension of healthcare access. Little work has been published on healthcare resource allocation patterns in China, despite public equity concerns. Using national data from 2043 counties, this paper investigates the geographic distribution of hospital beds at the county level in China. We performed Gini coefficient analysis to measure inequalities and ordinary least squares regression with fixed provincial effects and additional spatial specifications to assess key determinants. We found that provinces in west China have the least equitable resource distribution. We also found that the distribution of hospital beds is highly spatially clustered. Finally, we found that both county-level savings and government revenue show a strong positive relationship with county level hospital bed density. We argue for more widespread use of disaggregated, geographical data in health policy-making in China to support the rational allocation of healthcare resources, thus promoting efficiency and equity. |
X Demographics
The data shown below were collected from the profiles of 11 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 | 1 | 9% |
| Unknown | 10 | 91% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 73% |
| Practitioners (doctors, other healthcare professionals) | 2 | 18% |
| Scientists | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 78 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 17% |
| Student > Master | 10 | 13% |
| Student > Bachelor | 6 | 8% |
| Researcher | 4 | 5% |
| Other | 3 | 4% |
| Other | 12 | 15% |
| Unknown | 30 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 9 | 12% |
| Social Sciences | 9 | 12% |
| Economics, Econometrics and Finance | 6 | 8% |
| Medicine and Dentistry | 4 | 5% |
| Business, Management and Accounting | 3 | 4% |
| Other | 17 | 22% |
| Unknown | 30 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 02 December 2022.
All research outputs
#2,842,049
of 23,243,271 outputs
Outputs from International Journal for Equity in Health
#524
of 1,948 outputs
Outputs of similar age
#49,833
of 313,986 outputs
Outputs of similar age from International Journal for Equity in Health
#17
of 50 outputs
Altmetric has tracked 23,243,271 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,948 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 73% 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 313,986 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 84% of its contemporaries.
We're also able to compare this research output to 50 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 68% of its contemporaries.