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Mendeley readers
Attention Score in Context
| Title |
Five decades of missing females in China
|
|---|---|
| Published in |
Demography, August 1994
|
| DOI | 10.2307/2061752 |
| Pubmed ID | |
| Authors |
Ansley J. Coale, Judith Banister |
| Abstract |
This paper seeks to explain the dearth of females in the population of China in cohorts born from the late 1930s to the present. We demonstrate that in virtually all cohorts, the shortage of females in comparison with males is revealed when the cohort is first enumerated in a census. Subsequently it barely changes, an indication that female losses occur very early in life. Using the high-quality data from the censuses and fertility surveys in China, we show that many of the births of the girls missing in the censuses were not reported in the surveys because they died very young. The incidence of excess early female mortality (probably infanticide) declined precipitously in the Communist period, but not to zero. The recent escalation in the proportion of young females missing in China has been caused largely by rapidly escalating sex-selective abortion. |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Spain | 1 | 2% |
| Germany | 1 | 2% |
| Unknown | 58 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 19% |
| Student > Doctoral Student | 8 | 13% |
| Professor > Associate Professor | 7 | 11% |
| Student > Master | 7 | 11% |
| Researcher | 5 | 8% |
| Other | 15 | 24% |
| Unknown | 8 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 17 | 27% |
| Economics, Econometrics and Finance | 8 | 13% |
| Psychology | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 14 | 23% |
| Unknown | 14 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 65. 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 26 December 2023.
All research outputs
#649,065
of 25,380,192 outputs
Outputs from Demography
#176
of 1,995 outputs
Outputs of similar age
#87
of 20,531 outputs
Outputs of similar age from Demography
#1
of 5 outputs
Altmetric has tracked 25,380,192 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,995 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.4. This one has done particularly well, scoring higher than 91% 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 20,531 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 5 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