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Statistical methods for modeling repeated measures of maternal environmental exposure biomarkers during pregnancy in association with preterm birth

Overview of attention for article published in Environmental Health, January 2015
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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 (93rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (61st percentile)

Mentioned by

news
2 news outlets
twitter
3 X users
facebook
1 Facebook page

Citations

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79 Dimensions

Readers on

mendeley
118 Mendeley
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Title
Statistical methods for modeling repeated measures of maternal environmental exposure biomarkers during pregnancy in association with preterm birth
Published in
Environmental Health, January 2015
DOI 10.1186/1476-069x-14-9
Pubmed ID
Authors

Yin-Hsiu Chen, Kelly K Ferguson, John D Meeker, Thomas F McElrath, Bhramar Mukherjee

Abstract

It is of critical importance to evaluate the role of environmental chemical exposures in premature birth. While a number of studies investigate this relationship, most utilize single exposure measurements during pregnancy in association with the outcome. The studies with repeated measures of exposure during pregnancy employ primarily cross-sectional analyses that may not be fully leveraging the power and additional information that the data provide.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 118 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 3%
France 1 <1%
Unknown 113 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 28 24%
Researcher 17 14%
Student > Master 15 13%
Student > Doctoral Student 11 9%
Student > Bachelor 10 8%
Other 19 16%
Unknown 18 15%
Readers by discipline Count As %
Medicine and Dentistry 24 20%
Environmental Science 10 8%
Psychology 8 7%
Biochemistry, Genetics and Molecular Biology 8 7%
Mathematics 7 6%
Other 29 25%
Unknown 32 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 06 April 2016.
All research outputs
#1,748,434
of 25,516,314 outputs
Outputs from Environmental Health
#356
of 1,606 outputs
Outputs of similar age
#23,708
of 361,023 outputs
Outputs of similar age from Environmental Health
#13
of 31 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,606 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 38.0. This one has done well, scoring higher than 77% 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 361,023 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 93% of its contemporaries.
We're also able to compare this research output to 31 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 61% of its contemporaries.