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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Epidemiological Features of Spinal Cord Injury in China: A Systematic Review
|
|---|---|
| Published in |
Frontiers in Neurology, August 2018
|
| DOI | 10.3389/fneur.2018.00683 |
| Pubmed ID | |
| Authors |
Shiyang Yuan, Zhongju Shi, Fujiang Cao, Jiahe Li, Shiqing Feng |
| Abstract |
Background: Spinal cord injury (SCI) is a severe condition that disrupts patients' physiological, mental, and social well-being state and exerts great financial burden on patients, their families and social healthcare system. This review intends to compile studies regarding epidemiological features of SCI in China. Methods: Searches were conducted on PubMed, EMBASE, Web of Science and Cochrane Library for relevant studies published through January, 2018. Studies reported methodological and epidemiological data were collected by two authors independently. Results: Seventeen studies met the inclusion criteria. Two studies reported incidence of SCI that is 60.6 in Beijing (2002) and 23.7 in Tianjin (2004-2008). All studies showed male had a larger percentage in SCI compared to female except Taiwan (2000-2003). The average male and female ratio was 3-4:1 in China and the highest male and female ratio was 5.74: 1 in Tianjin (2004-2007). Farmers, laborers and unemployed people accounted for more than half of the SCI patients in China. Fall was the primary causation with exception of Heilongjiang (2009-2013), Beijing (2001-2010), and Taiwan (2002-2003), where motor vehicle collision (MCVs) was the leading causation. Pulmonary infection, urinary tract infection and bedsore were common complications, accounting for approximately 70% of SCI patients in China. Conclusion: This review shows that epidemiological features of SCI are various in different regions in China and prevention should be implemented by regions. The number of patients with SCI result from fall and MCVs may become a main public health problem because population aging and economic developing in China. However, because all included studies were retrospective and lacking a register system in China, some data were incomplete and some cases may be left out, so the conclusion may not be generalizable to the other regions. |
X Demographics
The data shown below were collected from the profiles of 2 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 Kingdom | 1 | 50% |
| Switzerland | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Researcher | 7 | 11% |
| Student > Bachelor | 5 | 8% |
| Student > Postgraduate | 3 | 5% |
| Other | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 31 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 5 | 8% |
| Neuroscience | 5 | 8% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Agricultural and Biological Sciences | 3 | 5% |
| Engineering | 3 | 5% |
| Other | 11 | 17% |
| Unknown | 33 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 24 August 2018.
All research outputs
#18,647,094
of 23,100,534 outputs
Outputs from Frontiers in Neurology
#7,915
of 12,015 outputs
Outputs of similar age
#256,705
of 334,082 outputs
Outputs of similar age from Frontiers in Neurology
#188
of 289 outputs
Altmetric has tracked 23,100,534 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,015 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one is in the 24th percentile – i.e., 24% 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 334,082 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 289 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.