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Evaluating Potential Biomarkers of Health and Performance in Veal Calves

Overview of attention for article published in Frontiers in Veterinary Science, June 2018
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  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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1 policy source
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3 X users

Citations

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51 Dimensions

Readers on

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97 Mendeley
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Title
Evaluating Potential Biomarkers of Health and Performance in Veal Calves
Published in
Frontiers in Veterinary Science, June 2018
DOI 10.3389/fvets.2018.00133
Pubmed ID
Authors

Francesca Marcato, Henry van den Brand, Bas Kemp, Kees van Reenen

Abstract

Veal calves undergo many challenges in the early stages of their life. Such challenges, including mixing procedures and transportation of calves to the veal farm, may have a negative influence on growth rate, feed intake, metabolism, immunity and disease susceptibility of calves. As a consequence, many hematological, physiological, metabolic and immunological parameters of stressed calves might be altered on arrival at the veal farm. Some of these response variables might be useful as biomarkers of performance of calves at the veal farm as they might provide information about an ongoing disease process, or may predict future diseases. Biomarkers might be helpful to group and manage calves in different risk categories after arrival. By adopting treatment decisions and protocols on a risk-group or individual basis, it would be possible to improve animal health and reduce both disease incidence and antibiotic use. Moreover, the use of biomarkers might be an economically feasible approach as some of them do not need invasive techniques and others can be measured in blood already taken during routine checks. Previous literature mainly assessed the physiological responses of calves to transportation. However, information on the link between on-farm arrival data and future health and performance of veal calves is limited. This review, therefore, examined a wide range of papers and aimed to identify potential biomarkers of future health and performance.

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

Geographical breakdown

Country Count As %
Unknown 97 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 17 18%
Student > Master 15 15%
Researcher 8 8%
Student > Postgraduate 8 8%
Professor 6 6%
Other 11 11%
Unknown 32 33%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 29%
Veterinary Science and Veterinary Medicine 26 27%
Medicine and Dentistry 2 2%
Computer Science 1 1%
Unspecified 1 1%
Other 2 2%
Unknown 37 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 May 2022.
All research outputs
#6,609,274
of 23,776,941 outputs
Outputs from Frontiers in Veterinary Science
#1,123
of 6,871 outputs
Outputs of similar age
#112,042
of 329,360 outputs
Outputs of similar age from Frontiers in Veterinary Science
#34
of 91 outputs
Altmetric has tracked 23,776,941 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 6,871 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.1. 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 329,360 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 65% of its contemporaries.
We're also able to compare this research output to 91 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.