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Heat stress related dairy cow mortality during heat waves and control periods in rural Southern Ontario from 2010–2012

Overview of attention for article published in BMC Veterinary Research, November 2015
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#35 of 3,236)
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

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3 news outlets
blogs
2 blogs
twitter
15 X users

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mendeley
133 Mendeley
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Title
Heat stress related dairy cow mortality during heat waves and control periods in rural Southern Ontario from 2010–2012
Published in
BMC Veterinary Research, November 2015
DOI 10.1186/s12917-015-0607-2
Pubmed ID
Authors

Katherine E. Bishop-Williams, Olaf Berke, David L. Pearl, Karen Hand, David F. Kelton

Abstract

Heat stress is a physiological response to extreme environmental heat such as heat waves. Heat stress can result in mortality in dairy cows when extreme heat is both rapidly changing and has a long duration. As a result of climate change, heat waves, which are defined as 3 days of temperatures of 32 °C or above, are an increasingly frequent extreme weather phenomenon in Southern Ontario. Heat waves are increasing the risk for on-farm dairy cow mortality in Southern Ontario. Heat stress indices (HSIs) are generally based on temperature and humidity and provide a relative measure of discomfort which can be used to predict increased risk of on-farm dairy cow mortality. In what follows, the heat stress distribution was described over space and presented with maps. Similarly, on-farm mortality was described and mapped. The goal of this study was to demonstrate that heat waves and related HSI increases during 2010-2012 were associated with increased on-farm dairy cow mortality in Southern Ontario. Mortality records and farm locations for all farms registered in the CanWest Dairy Herd Improvement Program in Southern Ontario were retrieved for 3 heat waves and 6 three-day control periods from 2010 to 2012. A random sample of controls (2:1) was taken from the data set to create a risk-based hybrid design. On-farm heat stress was estimated using data from 37 weather stations and subsequently interpolated across Southern Ontario by geostatistical kriging. A Poisson regression model was applied to assess the on-farm mortality in relation to varying levels of the HSI. For every one unit increase in HSI the on-farm mortality rate across Southern Ontario increases by 1.03 times (CI95% (IRR) = (1.025,1.035); p = ≤ 0.001). With a typical 8.6 unit increase in HSI from a control period to a heat wave, mortality rates are predicted to increase by 1.27 times. Southern Ontario was affected by heat waves, as demonstrated by high levels of heat stress and increased on-farm mortality. Farmers should be aware of these risks, and informed of appropriate methods to mitigate such risks.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 <1%
Unknown 132 99%

Demographic breakdown

Readers by professional status Count As %
Researcher 23 17%
Student > Ph. D. Student 17 13%
Student > Master 14 11%
Student > Bachelor 11 8%
Student > Doctoral Student 9 7%
Other 22 17%
Unknown 37 28%
Readers by discipline Count As %
Agricultural and Biological Sciences 27 20%
Veterinary Science and Veterinary Medicine 12 9%
Environmental Science 12 9%
Social Sciences 7 5%
Earth and Planetary Sciences 7 5%
Other 25 19%
Unknown 43 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 52. 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 24 August 2023.
All research outputs
#782,292
of 24,857,051 outputs
Outputs from BMC Veterinary Research
#35
of 3,236 outputs
Outputs of similar age
#13,346
of 398,994 outputs
Outputs of similar age from BMC Veterinary Research
#2
of 83 outputs
Altmetric has tracked 24,857,051 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,236 research outputs from this source. They receive a mean Attention Score of 4.2. This one has done particularly well, scoring higher than 98% 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 398,994 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 96% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.