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Applying Precision Public Health to Prevent Preterm Birth

Overview of attention for article published in Frontiers in Public Health, April 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 (85th percentile)
  • High Attention Score compared to outputs of the same age and source (89th percentile)

Mentioned by

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17 X users
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Readers on

mendeley
108 Mendeley
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Title
Applying Precision Public Health to Prevent Preterm Birth
Published in
Frontiers in Public Health, April 2017
DOI 10.3389/fpubh.2017.00066
Pubmed ID
Authors

John P. Newnham, Matthew W. Kemp, Scott W. White, Catherine A. Arrese, Roger J. Hart, Jeffrey A. Keelan

Abstract

Preterm birth (PTB) is one of the major health-care challenges of our time. Being born too early is associated with major risks to the child with potential for serious consequences in terms of life-long disability and health-care costs. Discovering how to prevent PTB needs to be one of our greatest priorities. Recent advances have provided hope that a percentage of cases known to be related to risk factors may be amenable to prevention; but the majority of cases remain of unknown cause, and there is little chance of prevention. Applying the principle of precision public health may offer opportunities previously unavailable. Presented in this article are ideas that may improve our abilities in the fields of studying the effects of migration and of populations in transition, public health programs, tobacco control, routine measurement of length of the cervix in mid-pregnancy by ultrasound imaging, prevention of non-medically indicated late PTB, identification of pregnant women for whom treatment of vaginal infection may be of benefit, and screening by genetics and other "omics." Opening new research in these fields, and viewing these clinical problems through a prism of precision public health, may produce benefits that will affect the lives of large numbers of people.

X Demographics

X Demographics

The data shown below were collected from the profiles of 17 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 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 108 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 21 19%
Researcher 13 12%
Student > Bachelor 10 9%
Other 8 7%
Student > Ph. D. Student 7 6%
Other 18 17%
Unknown 31 29%
Readers by discipline Count As %
Medicine and Dentistry 33 31%
Nursing and Health Professions 11 10%
Social Sciences 7 6%
Biochemistry, Genetics and Molecular Biology 4 4%
Agricultural and Biological Sciences 3 3%
Other 12 11%
Unknown 38 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 28 May 2019.
All research outputs
#2,201,158
of 22,962,258 outputs
Outputs from Frontiers in Public Health
#819
of 10,104 outputs
Outputs of similar age
#44,080
of 308,981 outputs
Outputs of similar age from Frontiers in Public Health
#9
of 85 outputs
Altmetric has tracked 22,962,258 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,104 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.0. 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 308,981 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 85% of its contemporaries.
We're also able to compare this research output to 85 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 89% of its contemporaries.