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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Epidemiological Characteristics of Stroke in Hunan Province, China
|
|---|---|
| Published in |
Frontiers in Neurology, July 2018
|
| DOI | 10.3389/fneur.2018.00583 |
| Pubmed ID | |
| Authors |
Wei He, Yunhai Liu, Jie Feng, Qing Huang, Ji Xu, Xiaojuan Liu, Cheng Yu, Wenbin Zhu, Te Wang, Donghui Jin, Huilin Liu, Yuelong Huang, Biyun Chen |
| Abstract |
Previous studies have shown that Hunan Province has a high incidence of stroke and a high proportion of intracerebral hemorrhage (ICH). Considering the changes over the past three decades, little is known about the current epidemiological characteristics of stroke in Hunan Province. In 2013, a cross-sectional study was conducted at seven national disease surveillance points (DSPs) in Hunan Province. A multistage cluster sampling method was used to select a representative sample. A total of 21,156 participants aged 20 years and older were examined. Among the 21,156 participants, the number of prevalent strokes, incident strokes and deaths was 307, 87, and 36, respectively. The 2010 China census-standardized prevalence, incidence and mortality were 1191.0 per 100,000 people [95% confidence interval (CI) 1044.8-1337.2], 333.6 per 100,000 person-years (95% CI 255.7-411.5) and 129.7 per 100,000 person-years (95% CI 81.1-178.3), respectively. Ischemic stroke (IS), ICH, subarachnoid hemorrhage (SAH), and stroke of undetermined type (UND) constituted 50.6, 41.4, 5.7, and 2.3% of all incident stroke cases, respectively. Tianxin, Liuyang, Wuling, and Hongjiang have high proportions of ICH (61.5, 58.3, 60, and 50%, respectively). Hypertension is the most common risk factor for prevalent stroke (71.34%), followed by smoking (30.62%) and alcohol use (25.73%). In conclusion, Hunan Province has an extremely heavy stroke burden. The high proportion of ICH is not limited to the Changsha community; it represents an important issue for all of Hunan Province. |
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 % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 3 | 19% |
| Student > Master | 3 | 19% |
| Student > Bachelor | 3 | 19% |
| Other | 1 | 6% |
| Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 4 | 25% |
| Neuroscience | 2 | 13% |
| Medicine and Dentistry | 2 | 13% |
| Mathematics | 1 | 6% |
| Social Sciences | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 6 | 38% |
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 19 July 2018.
All research outputs
#18,643,992
of 23,096,849 outputs
Outputs from Frontiers in Neurology
#7,909
of 12,012 outputs
Outputs of similar age
#253,332
of 329,152 outputs
Outputs of similar age from Frontiers in Neurology
#206
of 322 outputs
Altmetric has tracked 23,096,849 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 12,012 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 329,152 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 322 others from the same source and published within six weeks on either side of this one. This one is in the 22nd percentile – i.e., 22% of its contemporaries scored the same or lower than it.