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Child Underreporting, Fertility, and Sex Ratio Imbalance in China

Overview of attention for article published in Demography, February 2011
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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 (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

policy
2 policy sources
twitter
1 X user
wikipedia
3 Wikipedia pages

Citations

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119 Dimensions

Readers on

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96 Mendeley
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Title
Child Underreporting, Fertility, and Sex Ratio Imbalance in China
Published in
Demography, February 2011
DOI 10.1007/s13524-010-0007-y
Pubmed ID
Authors

Daniel Goodkind

Abstract

Child underreporting is often neglected in studies of fertility and sex ratio imbalance in China. To improve estimates of these measures, I use intercensal comparisons to identify a rise in underreporting, which followed the increased enforcement and penalization under the birth planning system in 1991. A new triangulation of evidence indicates that about 19% of children at ages 0-4 were unreported in the 2000 census, more than double that of the 1990 census. This evidence contradicts assumptions underlying the fertility estimates of most recent studies. Yet, the analysis also suggests that China's fertility in the late 1990s (and perhaps beyond) was below officially adjusted levels. I then conduct a similar intercensal analysis of sex ratios of births and children, which are the world's highest primarily because of prenatal sex selection. However, given excess underreporting of young daughters, especially pronounced just after 1990, estimated ratios are lower than reported ratios. Sex ratios in areas with a "1.5-child" policy are especially distorted because of excess daughter underreporting, as well as sex-linked stopping rules and other factors, although it is unclear whether such policies increase use of prenatal sex selection. China's sex ratio at birth, once it is standardized by birth order, fell between 2000 and 2005 and showed a continuing excess in urban China, not rural China.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 96 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Colombia 1 1%
Korea, Republic of 1 1%
United Kingdom 1 1%
Singapore 1 1%
China 1 1%
Unknown 91 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 24%
Student > Master 12 13%
Professor > Associate Professor 9 9%
Student > Doctoral Student 5 5%
Student > Bachelor 5 5%
Other 16 17%
Unknown 26 27%
Readers by discipline Count As %
Social Sciences 28 29%
Economics, Econometrics and Finance 19 20%
Arts and Humanities 5 5%
Agricultural and Biological Sciences 4 4%
Business, Management and Accounting 3 3%
Other 9 9%
Unknown 28 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 30 September 2020.
All research outputs
#3,588,357
of 25,271,884 outputs
Outputs from Demography
#814
of 2,039 outputs
Outputs of similar age
#15,542
of 113,446 outputs
Outputs of similar age from Demography
#4
of 13 outputs
Altmetric has tracked 25,271,884 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,039 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.7. This one has gotten more attention than average, scoring higher than 59% 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 113,446 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 86% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.