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Who benefits most from influenza vaccination policy: a study among the elderly in Beijing, China

Overview of attention for article published in International Journal for Equity in Health, March 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

1 policy source
1 Facebook page


5 Dimensions

Readers on

63 Mendeley
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Who benefits most from influenza vaccination policy: a study among the elderly in Beijing, China
Published in
International Journal for Equity in Health, March 2016
DOI 10.1186/s12939-016-0332-x
Pubmed ID

Tongtong Li, Min Lv, Trudy Lei, Jiang Wu, Xinghuo Pang, Ying Deng, Zheng Xie


Influenza continues to have a major impact on vulnerable populations worldwide, particularly among the elderly (≥60 years of age). Vaccination for targeted groups is recommended by the WHO as the most effective way to control influenza infections. Since 2009, the Beijing municipal government has provided influenza vaccination to the elderly at no out-of-pocket cost to reduce influenza threats and improve related health equality. The study aims to evaluate the equality of the policy, and to analyze factors that bring influences to equality. Based on data from a household survey, concentration index (CI) was calculated to measure the socioeconomic inequality in influenza vaccination. A Logit regression model was used to decompose CI, in which the contribution of each determinant was calculated and the percentages of these contribution were obtained. Free influenza vaccination at point of use shows significant pro-poor distribution among the elderly in Beijing (CI = -0.115). After the decomposition of CI, the elderly with lower income, higher education, and living in rural areas were more likely to get the influenza vaccination, in which place of residence (contribution percentage = 57 %) held the most contribution of variance. Beijing's free influenza vaccination strategy at point of use could provide the poor elderly with equal opportunities to receive preventive health service, showing a significant pro-poor distribution. The poor elderly, who live in rural areas with high education, benefit most from the policy. Further policy interventions should target the population living in urban areas in order to improve the utilization of public health services and health equality.

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 14 22%
Researcher 7 11%
Student > Ph. D. Student 7 11%
Student > Bachelor 7 11%
Student > Postgraduate 6 10%
Other 12 19%
Unknown 10 16%
Readers by discipline Count As %
Nursing and Health Professions 12 19%
Medicine and Dentistry 11 17%
Social Sciences 7 11%
Economics, Econometrics and Finance 6 10%
Agricultural and Biological Sciences 3 5%
Other 10 16%
Unknown 14 22%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 01 January 2017.
All research outputs
of 17,359,532 outputs
Outputs from International Journal for Equity in Health
of 1,531 outputs
Outputs of similar age
of 269,896 outputs
Outputs of similar age from International Journal for Equity in Health
of 1 outputs
Altmetric has tracked 17,359,532 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 1,531 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.1. This one is in the 41st percentile – i.e., 41% 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 269,896 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 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them