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Rural-urban disparity in category II vaccination among children under five years of age: evidence from a survey in Shandong, China

Overview of attention for article published in International Journal for Equity in Health, June 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (81st percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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1 blog
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1 X user
wikipedia
2 Wikipedia pages

Citations

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14 Dimensions

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53 Mendeley
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Title
Rural-urban disparity in category II vaccination among children under five years of age: evidence from a survey in Shandong, China
Published in
International Journal for Equity in Health, June 2018
DOI 10.1186/s12939-018-0802-4
Pubmed ID
Authors

Xinyi Zhang, Zerin Imam Syeda, Zhengyue Jing, Qiongqiong Xu, Long Sun, Lingzhong Xu, Chengchao Zhou

Abstract

Compared with the Expanded Program on Immunization (EPI) vaccines, the coverage rate of the non-EPI vaccines is still low. The aim of this study is to explore the rural-urban disparity in category II vaccine and its determinants among children under 5 years old in China. A cross-sectional study was conducted in 17 cities in Shandong province from August to October, 2013. A total of 1638 children were included in the analysis. Unadjusted and adjusted regression model were used to identify the rural-urban difference in vaccination of category II vaccine. Multivariate logistic regression models were employed to analyze the determinants associated with vaccination of category II vaccine in rural and urban areas respectively. The coverage rates of category II vaccine in rural and urban children were 81.5 and 69.4% respectively. Factors including age and satisfaction with vaccination services were associated with category II vaccination both in rural and urban children (Ρ < 0.05). It was also found that the households with four or less members are more likely to vaccinate category II vaccine in rural children. There was a big difference between rural and urban children in the use of category II vaccine. The government should strengthen financial support and regulation for the category II vaccine. The identified at-risk factors, including age, satisfaction with the vaccination services, and family size should be taken into account when designing targeted vaccination policies for rural and urban children.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 53 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 21%
Researcher 6 11%
Student > Ph. D. Student 5 9%
Student > Postgraduate 3 6%
Student > Doctoral Student 2 4%
Other 3 6%
Unknown 23 43%
Readers by discipline Count As %
Nursing and Health Professions 9 17%
Medicine and Dentistry 7 13%
Social Sciences 2 4%
Business, Management and Accounting 1 2%
Economics, Econometrics and Finance 1 2%
Other 6 11%
Unknown 27 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 29 November 2021.
All research outputs
#2,852,573
of 23,092,602 outputs
Outputs from International Journal for Equity in Health
#525
of 1,933 outputs
Outputs of similar age
#60,078
of 328,678 outputs
Outputs of similar age from International Journal for Equity in Health
#18
of 49 outputs
Altmetric has tracked 23,092,602 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,933 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has gotten more attention than average, scoring higher than 72% of its peers.
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 328,678 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 81% of its contemporaries.
We're also able to compare this research output to 49 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 63% of its contemporaries.