You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Does the medical insurance system really achieved the effect of poverty alleviation for the middle-aged and elderly people in China? Characteristics of vulnerable groups and failure links
|
---|---|
Published in |
BMC Public Health, April 2020
|
DOI | 10.1186/s12889-020-08554-3 |
Pubmed ID | |
Authors |
Meiyan Ma, Ye Li, Nianshi Wang, Qunhong Wu, Linghan Shan, Mingli Jiao, Xuelian Fu, Heng Li, Tao Sun, Bin Yi, Wanxin Tian, Qi Xia, Baoguo Shi, Yanhua Hao, Hui Yin, Ning Ning, Lijun Gao, Libo Liang, Jiahui Wang |
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 % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 75 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 11 | 15% |
Student > Master | 10 | 13% |
Researcher | 9 | 12% |
Student > Doctoral Student | 5 | 7% |
Student > Ph. D. Student | 5 | 7% |
Other | 15 | 20% |
Unknown | 20 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 13 | 17% |
Nursing and Health Professions | 12 | 16% |
Economics, Econometrics and Finance | 6 | 8% |
Business, Management and Accounting | 5 | 7% |
Social Sciences | 5 | 7% |
Other | 11 | 15% |
Unknown | 23 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 14 September 2020.
All research outputs
#3,329,873
of 23,201,298 outputs
Outputs from BMC Public Health
#3,808
of 15,150 outputs
Outputs of similar age
#78,857
of 371,826 outputs
Outputs of similar age from BMC Public Health
#94
of 327 outputs
Altmetric has tracked 23,201,298 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 15,150 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 74% 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 371,826 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 78% of its contemporaries.
We're also able to compare this research output to 327 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 71% of its contemporaries.