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.
Mendeley readers
Attention Score in Context
| Title |
Resilience in rural left-behind middle school students in Yunyang county of the Three Gorges area in China: a prospective cohort study
|
|---|---|
| Published in |
BMC Psychiatry, March 2016
|
| DOI | 10.1186/s12888-016-0781-1 |
| Pubmed ID | |
| Authors |
Yan Luo, Hong Wang, Xun Lei, Xue Guo, Ke Huang, Qin Liu |
| Abstract |
The number of left-behind children in China is gradually increasing. This study aimed to understand the mental health status and changes in resilience of rural, left-behind middle school students in Yunyang County of the Three Gorges area in China. A prospective cohort study, including two follow-up surveys, with a frequency of once every 6 months was conducted among middle school students in Yunyang County. A self-designed questionnaire was used to obtain socio-demographic factors of participants, the Mental Health Test (MHT) scale was used to assess their mental health statuses, and resilience levels were collected using Resilience Youth Development Module (RYDM) scale at baseline and at the first and second follow-up investigations. Of the 1401 students who completed the baseline survey, 1322 students were eligible for the cohort study, of whom 1160 were investigated in the first follow-up survey. Ultimately, 1101 students completed the 1-year cohort. The detection rate of mental health problems for middle school students in the rural Three Gorges area was 5.64 %, and there was no significant difference between left-behind students (LBS) and non-left-behind students (NLBS) (χ (2) = 1.056, P = 0.304). The detection rates of medium resilience rose gradually (Z = 4.185, P = 0.000), while that of high resilience declined gradually (Z =-4.192, P = 0.000) in the baseline, first and second follow-up investigations. There was no significant difference between LBS and NLBS in resilience level (P > 0.05). The average RYDM scores were 2.990, 2.926, 2.904 among LBS in the baseline, first and second follow-up investigation, respectively, and the effect of time on the average RYDM scores was significant (F = 14.873, P = 0.000). The average MHT scores in LBS were 41.54, 39.79, 38.84 in the baseline, first and second follow-up investigations, respectively, and the detection rates of students who had psychological problems increased gradually (Z = 4.651, P = 0.000). The simple correlation coefficients between the RYDM and MHT scores were-0.227,-0.158, and-0.204 in the baseline, first and second follow-up survey, respectively (P = 0.000). The detection rate of mental health problems for middle school students in the rural Three Gorges area is relatively low and most of the LBS in area have medium or high resilience. The mental health status of LBS positively correlated with their resilience levels. Resilience declined gradually as time went on, but further studies with longer follow-up durations are needed to confirm the variation of resilience. |
Mendeley readers
The data shown below were compiled from readership statistics for 55 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Researcher | 8 | 15% |
| Student > Ph. D. Student | 7 | 13% |
| Student > Postgraduate | 4 | 7% |
| Student > Doctoral Student | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 18 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 14 | 25% |
| Social Sciences | 6 | 11% |
| Medicine and Dentistry | 3 | 5% |
| Nursing and Health Professions | 3 | 5% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Other | 3 | 5% |
| Unknown | 25 | 45% |
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 23 March 2016.
All research outputs
#20,317,110
of 22,858,915 outputs
Outputs from BMC Psychiatry
#4,220
of 4,698 outputs
Outputs of similar age
#254,704
of 300,567 outputs
Outputs of similar age from BMC Psychiatry
#92
of 98 outputs
Altmetric has tracked 22,858,915 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,698 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.9. This one is in the 1st percentile – i.e., 1% 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 300,567 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 98 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.