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Attention Score in Context
Title |
Advancing the application of systems thinking in health: managing rural China health system development in complex and dynamic contexts
|
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Published in |
Health Research Policy and Systems, August 2014
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DOI | 10.1186/1478-4505-12-44 |
Pubmed ID | |
Authors |
Xiulan Zhang, Gerald Bloom, Xiaoxin Xu, Lin Chen, Xiaoyun Liang, Sara J Wolcott |
Abstract |
This paper explores the evolution of schemes for rural finance in China as a case study of the long and complex process of health system development. It argues that the evolution of these schemes has been the outcome of the response of a large number of agents to a rapidly changing context and of efforts by the government to influence this adaptation process and achieve public health goals. |
X Demographics
The data shown below were collected from the profiles of 5 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 | 20% |
Unknown | 4 | 80% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 103 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 2% |
South Africa | 1 | <1% |
Unknown | 100 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 17% |
Researcher | 17 | 17% |
Student > Ph. D. Student | 11 | 11% |
Student > Doctoral Student | 8 | 8% |
Student > Bachelor | 6 | 6% |
Other | 25 | 24% |
Unknown | 18 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 28 | 27% |
Social Sciences | 18 | 17% |
Nursing and Health Professions | 9 | 9% |
Business, Management and Accounting | 8 | 8% |
Economics, Econometrics and Finance | 4 | 4% |
Other | 14 | 14% |
Unknown | 22 | 21% |
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 04 September 2014.
All research outputs
#7,388,356
of 22,761,738 outputs
Outputs from Health Research Policy and Systems
#829
of 1,209 outputs
Outputs of similar age
#75,242
of 236,352 outputs
Outputs of similar age from Health Research Policy and Systems
#24
of 28 outputs
Altmetric has tracked 22,761,738 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 1,209 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.1. This one is in the 30th percentile – i.e., 30% 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 236,352 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 28 others from the same source and published within six weeks on either side of this one. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.