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The Relationship Between Apparent Temperature and Daily Number of Live Births in Montreal

Overview of attention for article published in Maternal and Child Health Journal, July 2015
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3 X users

Citations

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29 Mendeley
Title
The Relationship Between Apparent Temperature and Daily Number of Live Births in Montreal
Published in
Maternal and Child Health Journal, July 2015
DOI 10.1007/s10995-015-1794-y
Pubmed ID
Authors

Tarik Benmarhnia, Nathalie Auger, Virginie Stanislas, Ernest Lo, Jay S. Kaufman

Abstract

Temperature is a hypothesized determinant of early delivery, but seasonal and long term trends, delayed effects of temperature, and the influence of extreme cold temperatures have not yet been addressed. We aim to study the influence of apparent temperature on daily number of births, considering lag structures, seasonality and long term trends. We used daily number of births in conjunction with apparent outdoor temperatures between 1981 and 2010 in Montreal. We used Poisson regression combined with a distributed lag nonlinear model to consider non-linear relationships between temperature and daily number of births across specific lag periods. We found that apparent temperature was associated with the daily number of births in Montreal, with a 1-day delay. We found an increase in births on hot days, and decrease on cold days, both offset by a harvesting effect after 4 and 5 days. This study suggests that the number of births is affected by extreme temperatures. Obstetric and perinatal service providers should be prepared for spikes in the number of births caused by extreme temperatures.

X Demographics

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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 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 29 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 21%
Professor > Associate Professor 3 10%
Researcher 3 10%
Student > Ph. D. Student 3 10%
Student > Doctoral Student 1 3%
Other 2 7%
Unknown 11 38%
Readers by discipline Count As %
Medicine and Dentistry 7 24%
Social Sciences 4 14%
Nursing and Health Professions 3 10%
Psychology 1 3%
Earth and Planetary Sciences 1 3%
Other 0 0%
Unknown 13 45%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 20 August 2015.
All research outputs
#15,551,440
of 23,906,448 outputs
Outputs from Maternal and Child Health Journal
#1,340
of 2,039 outputs
Outputs of similar age
#145,943
of 265,376 outputs
Outputs of similar age from Maternal and Child Health Journal
#25
of 39 outputs
Altmetric has tracked 23,906,448 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
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 10.2. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 265,376 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.