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 |
Risk Factors for Post-stroke Depression: A Meta-analysis
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, July 2017
|
| DOI | 10.3389/fnagi.2017.00218 |
| Pubmed ID | |
| Authors |
Yu Shi, Dongdong Yang, Yanyan Zeng, Wen Wu |
| Abstract |
Background: Stroke not only impacts patients physically but also economically. Post-stroke depression (PSD), as a common complication of stroke, always obstructs the process of stroke rehabilitation. Accordingly, defining the risk factors associated with PSD has extraordinary importance. Although there have been many studies investigating the risk factors for PSD, the results are inconsistent. Objectives: The objectives of this study were to identify the risk factors for PSD by evidence-based medicine. Data sources: A systematic and comprehensive database search was performed of PubMed, Medline, CENTRAL, EMBASE.com, the Cochrane library and Web of Science for Literature, covering publications from January 1, 1998 to November 19, 2016. Study Selection: Studies on risk factors for PSD were identified, according to inclusion and exclusion criteria. The risk of bias tool, described in the Cochrane Handbook version 5.1.0, was used to assess the quality of each study. Meta-analysis was performed using RevMan 5.3 software. Results: Thirty-six studies were included for review. A history of mental illness was the highest ranking modifiable risk factor; other risk factors for PSD were female gender, age (<70 years), neuroticism, family history, severity of stroke, and level of handicap. Social support was a protective factor for PSD. Conclusion: There are many factors that have effects on PSD. The severity of stroke is an important factor in the occurrence of PSD. Mental history is a possible predictor of PSD. Prevention of PSD requires social and family participation. |
X Demographics
The data shown below were collected from the profiles of 3 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 | 33% |
| Chile | 1 | 33% |
| Switzerland | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 258 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 258 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 40 | 16% |
| Student > Master | 29 | 11% |
| Student > Ph. D. Student | 19 | 7% |
| Student > Postgraduate | 17 | 7% |
| Student > Doctoral Student | 17 | 7% |
| Other | 42 | 16% |
| Unknown | 94 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 50 | 19% |
| Nursing and Health Professions | 33 | 13% |
| Psychology | 25 | 10% |
| Neuroscience | 17 | 7% |
| Social Sciences | 7 | 3% |
| Other | 26 | 10% |
| Unknown | 100 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 20 July 2017.
All research outputs
#14,946,971
of 22,990,068 outputs
Outputs from Frontiers in Aging Neuroscience
#3,375
of 4,834 outputs
Outputs of similar age
#185,975
of 312,551 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#92
of 118 outputs
Altmetric has tracked 22,990,068 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,834 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 25th percentile – i.e., 25% 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 312,551 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.