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Recruiting Migrants for Health Research Through Social Network Sites: An Online Survey Among Chinese Migrants in Australia

Overview of attention for article published in JMIR Research Protocols, April 2015
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2 Facebook pages

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Title
Recruiting Migrants for Health Research Through Social Network Sites: An Online Survey Among Chinese Migrants in Australia
Published in
JMIR Research Protocols, April 2015
DOI 10.2196/resprot.3960
Pubmed ID
Authors

Jie Hu, Kam Cheong Wong, Zhiqiang Wang

Abstract

Traditionally, postal surveys or face to face interviews are the main approaches for health researchers to obtain essential research data. However, with the prevalence of information technology and Internet, Web-based surveys are gaining popularity in health research. This study aims to report the process and outcomes of recruiting Chinese migrants through social network sites in Australia and to examine the sample characteristics of online recruitment by comparing the sample which was recruited by an online survey to a sample of Australian Chinese migrants collected by a postal survey. Descriptive analyses were performed to describe and compare the process and outcomes of online recruitment with postal survey questionnaires. Chi square tests and t tests were performed to assess the differences between the two samples for categorical and continuous variables respectively. In total, 473 Chinese migrants completed the online health survey from July to October 2013. Out of 426 participants recruited through the three Chinese social network sites in Australia, over 86.6% (369/426) were recruited within six weeks. Participants of the Web-based survey were younger, with a higher education level or had resided in Australia for less time compared to those recruited via a postal survey. However, there was no significant difference in gender, marital status, and professional occupation. The recruitment of Chinese migrants through social network sites in our online survey was feasible. Compared to a postal survey of Chinese migrants, the online survey attracted different group of Chinese migrants who may have diverse health needs and concerns. Our findings provided insightful information for researchers who are considering employing a Web-based approach to recruit migrants and ethnic minority participants.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 5%
Unknown 21 95%

Demographic breakdown

Readers by professional status Count As %
Student > Master 5 23%
Student > Bachelor 3 14%
Student > Doctoral Student 2 9%
Professor > Associate Professor 2 9%
Student > Ph. D. Student 2 9%
Other 4 18%
Unknown 4 18%
Readers by discipline Count As %
Psychology 4 18%
Medicine and Dentistry 4 18%
Social Sciences 4 18%
Computer Science 1 5%
Arts and Humanities 1 5%
Other 2 9%
Unknown 6 27%
Attention Score in Context

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 27 April 2015.
All research outputs
#18,407,102
of 22,800,560 outputs
Outputs from JMIR Research Protocols
#2,200
of 2,952 outputs
Outputs of similar age
#193,232
of 265,237 outputs
Outputs of similar age from JMIR Research Protocols
#40
of 40 outputs
Altmetric has tracked 22,800,560 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 2,952 research outputs from this source. They receive a mean Attention Score of 4.4. This one is in the 9th percentile – i.e., 9% 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 265,237 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 40 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.