↓ Skip to main content

Decision making on helminths in cattle: diagnostics, economics and human behaviour

Overview of attention for article published in Irish Veterinary Journal, September 2016
Altmetric Badge

About this Attention Score

  • Among the highest-scoring outputs from this source (#24 of 132)
  • Good Attention Score compared to outputs of the same age (67th percentile)

Mentioned by

twitter
6 tweeters

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
87 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Decision making on helminths in cattle: diagnostics, economics and human behaviour
Published in
Irish Veterinary Journal, September 2016
DOI 10.1186/s13620-016-0073-6
Pubmed ID
Authors

Johannes Charlier, Valérie De Waele, Els Ducheyne, Mariska van der Voort, Fiona Vande Velde, Edwin Claerebout, Charlier, Johannes, De Waele, Valérie, Ducheyne, Els, van der Voort, Mariska, Vande Velde, Fiona, Claerebout, Edwin

Abstract

Helminth infections of cattle affect productivity in all classes of stock, and are amongst the most important production-limiting diseases of grazing ruminants. Over the last decade, there has been a shift in focus in the diagnosis of these infections from merely detecting presence/absence of infection towards detecting its impact on production. This has been facilitated by studies observing consistent negative correlations between helminth diagnostic test results and measures of productivity. Veterinarians are increasingly challenged to consider the economic aspects of their work, and the use of these tests should now be integrated in economic evaluation frameworks for improved decision making. In this paper, we review recent insights in the farm-specific economic impact of helminth infections on dairy cattle farms as well as in farmer attitudes and behaviour regarding helminth control. Combining better economic impact assessments of helminth infections together with a deeper understanding of the non-economic factors that drive a farmer's animal health decisions should result in more effective control strategies and increased farmer satisfaction.

Twitter Demographics

The data shown below were collected from the profiles of 6 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 87 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Unknown 86 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 16 18%
Student > Ph. D. Student 11 13%
Student > Bachelor 10 11%
Student > Doctoral Student 9 10%
Researcher 9 10%
Other 18 21%
Unknown 14 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 23 26%
Veterinary Science and Veterinary Medicine 18 21%
Biochemistry, Genetics and Molecular Biology 6 7%
Medicine and Dentistry 6 7%
Social Sciences 5 6%
Other 11 13%
Unknown 18 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 September 2017.
All research outputs
#3,062,630
of 11,717,557 outputs
Outputs from Irish Veterinary Journal
#24
of 132 outputs
Outputs of similar age
#83,336
of 260,488 outputs
Outputs of similar age from Irish Veterinary Journal
#2
of 4 outputs
Altmetric has tracked 11,717,557 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 132 research outputs from this source. They receive a mean Attention Score of 2.6. This one has done well, scoring higher than 81% 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 260,488 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 67% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.