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| Title |
Strategies for expanding health insurance coverage in vulnerable populations
|
|---|---|
| Published in |
Cochrane database of systematic reviews, November 2014
|
| DOI | 10.1002/14651858.cd008194.pub3 |
| Pubmed ID | |
| Authors |
Liying Jia, Beibei Yuan, Fei Huang, Ying Lu, Paul Garner, Qingyue Meng |
| Abstract |
Health insurance has the potential to improve access to health care and protect people from the financial risks of diseases. However, health insurance coverage is often low, particularly for people most in need of protection, including children and other vulnerable populations. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 357 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | <1% |
| Switzerland | 1 | <1% |
| India | 1 | <1% |
| Indonesia | 1 | <1% |
| Nigeria | 1 | <1% |
| New Zealand | 1 | <1% |
| Unknown | 350 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 63 | 18% |
| Researcher | 40 | 11% |
| Student > Bachelor | 31 | 9% |
| Student > Ph. D. Student | 27 | 8% |
| Student > Postgraduate | 19 | 5% |
| Other | 69 | 19% |
| Unknown | 108 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 87 | 24% |
| Nursing and Health Professions | 47 | 13% |
| Social Sciences | 29 | 8% |
| Psychology | 14 | 4% |
| Unspecified | 9 | 3% |
| Other | 52 | 15% |
| Unknown | 119 | 33% |
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 13 October 2016.
All research outputs
#7,993,771
of 25,457,858 outputs
Outputs from Cochrane database of systematic reviews
#8,729
of 11,842 outputs
Outputs of similar age
#102,946
of 370,086 outputs
Outputs of similar age from Cochrane database of systematic reviews
#205
of 262 outputs
Altmetric has tracked 25,457,858 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 11,842 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.9. This one is in the 22nd percentile – i.e., 22% 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 370,086 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 71% of its contemporaries.
We're also able to compare this research output to 262 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.