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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Intimate partner violence against married rural-to-urban migrant workers in eastern China: prevalence, patterns, and associated factors
|
|---|---|
| Published in |
BMC Public Health, December 2016
|
| DOI | 10.1186/s12889-016-3896-x |
| Pubmed ID | |
| Authors |
Li Chen, Zonghuo Yu, Xianming Luo, Zhaoxin Huang |
| Abstract |
Intimate partner violence (IPV) is a significant public health issue among married rural-to-urban migrant workers, the largest group of internal migrants in China. This study aims to explore the prevalence, patterns and associated factors of intimate partner violence against married rural-to-urban migrant workers in eastern China. A cross-sectional study was conducted in Zhejiang province in China between July 2015 and April 2016, and a total of 1,744 married rural-to-urban migrant workers ultimately took part in the study. Conflict Tactics Scales and several short demographic questions were applied. Data were principally analyzed with logistic regression. The majority of married rural-to-urban migrant workers were middle-aged couples with a low education level and a relatively long-term duration of migration in fixed migrant cities. Nearly 45% of married rural-to-urban migrant workers were experienced at least one incident of intimate partner violence during the past 12 months. The joint occurrence of multiple forms of violence is the most commonly reported features of intimate partner violence, especially three overlapping patterns of intimate partner violence. Some individual (education and age), relationship (marital satisfaction, premarital sex and extramarital affairs) and social (duration of migration and number of migratory cities) factors of the respondents, were negatively or positively associated with intimate partner violence against married rural-to-urban migrant workers. The results indicated that one out of two married rural-to-urban migrant workers experienced at least one incident of intimate partner violence during the past 12 months in China. Accordingly, there is an obvious demand of intervention and treatment activities to prevent and reduce the occurrence of intimate partner violence among the millions of migrant workers in China. |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 5 | 71% |
| Unknown | 2 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 87 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 14% |
| Student > Bachelor | 7 | 8% |
| Student > Ph. D. Student | 6 | 7% |
| Student > Master | 6 | 7% |
| Student > Postgraduate | 5 | 6% |
| Other | 12 | 14% |
| Unknown | 39 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 13 | 15% |
| Social Sciences | 11 | 13% |
| Nursing and Health Professions | 7 | 8% |
| Psychology | 5 | 6% |
| Agricultural and Biological Sciences | 2 | 2% |
| Other | 9 | 10% |
| Unknown | 40 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 06 January 2017.
All research outputs
#13,262,892
of 22,914,829 outputs
Outputs from BMC Public Health
#9,328
of 14,938 outputs
Outputs of similar age
#205,242
of 419,650 outputs
Outputs of similar age from BMC Public Health
#118
of 193 outputs
Altmetric has tracked 22,914,829 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,938 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 36th percentile – i.e., 36% 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 419,650 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 50% of its contemporaries.
We're also able to compare this research output to 193 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.