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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Health Insurance Benefit Design and Healthcare Utilization in Northern Rural China
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050395 |
| Pubmed ID | |
| Authors |
Hong Wang, Yu Liu, Yan Zhu, Lei Xue, Martha Dale, Heather Sipsma, Elizabeth Bradley |
| Abstract |
Poverty due to illness has become a substantial social problem in rural China since the collapse of the rural Cooperative Medical System in the early 1980s. Although the Chinese government introduced the New Rural Cooperative Medical Schemes (NRCMS) in 2003, the associations between different health insurance benefit package designs and healthcare utilization remain largely unknown. Accordingly, we sought to examine the impact of health insurance benefit design on health care utilization. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 1% |
| Portugal | 1 | 1% |
| Unknown | 66 | 97% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 24% |
| Researcher | 6 | 9% |
| Student > Bachelor | 5 | 7% |
| Lecturer | 4 | 6% |
| Other | 4 | 6% |
| Other | 12 | 18% |
| Unknown | 21 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 12 | 18% |
| Medicine and Dentistry | 11 | 16% |
| Economics, Econometrics and Finance | 6 | 9% |
| Nursing and Health Professions | 4 | 6% |
| Computer Science | 2 | 3% |
| Other | 11 | 16% |
| Unknown | 22 | 32% |
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 20 August 2015.
All research outputs
#6,755,899
of 22,687,320 outputs
Outputs from PLOS ONE
#79,466
of 193,653 outputs
Outputs of similar age
#71,343
of 275,937 outputs
Outputs of similar age from PLOS ONE
#1,490
of 4,682 outputs
Altmetric has tracked 22,687,320 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 193,653 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one has gotten more attention than average, scoring higher than 58% 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 275,937 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 73% of its contemporaries.
We're also able to compare this research output to 4,682 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 67% of its contemporaries.