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The Born in Guangzhou Cohort Study (BIGCS)

Overview of attention for article published in European Journal of Epidemiology, March 2017
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 news outlet
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10 X users

Citations

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71 Dimensions

Readers on

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56 Mendeley
Title
The Born in Guangzhou Cohort Study (BIGCS)
Published in
European Journal of Epidemiology, March 2017
DOI 10.1007/s10654-017-0239-x
Pubmed ID
Authors

Xiu Qiu, Jin-Hua Lu, Jian-Rong He, Kin-bong Hubert Lam, Song-Ying Shen, Yong Guo, Ya-Shu Kuang, Ming-Yang Yuan, Lan Qiu, Nian-Nian Chen, Min-Shan Lu, Wei-Dong Li, Yan-Fei Xing, Feng-Juan Zhou, Suzanne Bartington, Kar Keung Cheng, Hui-Min Xia

Abstract

The Born in Guangzhou Cohort Study (BIGCS) is a large-scale prospective observational study investigating the role of social, biological and environmental influences on pregnancy and child health and development in an urban setting in southern China. Pregnant women who reside in Guangzhou and who attend Guangzhou Women and Children's Medical Center (GWCMC) for antenatal care in early pregnancy (<20 weeks' gestation) are eligible for inclusion. Study recruitment commenced in February 2012, with an overall participation rate of 76.3%. Study recruitment will continue until December 2018 to achieve the target sample size of 30,000 mother-child pairs. At 30 April 2016, a total of 75,422 questionnaires have been collected, while 14,696 live births have occurred with planned follow-up of cohort children until age 18 years. During the same period a total of 1,053,000 biological samples have been collected from participants, including maternal, paternal and infant blood, cord blood, placenta, umbilical cord, and maternal and infant stool samples. The dataset has been enhanced by record linkage to routine health and administrative records. We plan future record linkage to school enrolment and national examination records.

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 X users 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 56 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 23%
Researcher 9 16%
Student > Master 8 14%
Student > Doctoral Student 5 9%
Other 3 5%
Other 7 13%
Unknown 11 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 9 16%
Medicine and Dentistry 8 14%
Agricultural and Biological Sciences 6 11%
Social Sciences 4 7%
Immunology and Microbiology 3 5%
Other 9 16%
Unknown 17 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 02 July 2018.
All research outputs
#1,927,202
of 24,512,028 outputs
Outputs from European Journal of Epidemiology
#283
of 1,762 outputs
Outputs of similar age
#37,068
of 313,926 outputs
Outputs of similar age from European Journal of Epidemiology
#9
of 22 outputs
Altmetric has tracked 24,512,028 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,762 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.0. This one has done well, scoring higher than 83% 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 313,926 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 88% of its contemporaries.
We're also able to compare this research output to 22 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.