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Scoping review of indicators and methods of measurement used to evaluate the impact of dog population management interventions

Overview of attention for article published in BMC Veterinary Research, May 2017
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (88th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

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1 news outlet
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11 X users

Citations

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36 Dimensions

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136 Mendeley
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Title
Scoping review of indicators and methods of measurement used to evaluate the impact of dog population management interventions
Published in
BMC Veterinary Research, May 2017
DOI 10.1186/s12917-017-1051-2
Pubmed ID
Authors

Elly Hiby, Kate Nattrass Atema, Rebecca Brimley, Alexandra Hammond-Seaman, Mark Jones, Andrew Rowan, Emelie Fogelberg, Mark Kennedy, Deepashree Balaram, Louis Nel, Sarah Cleaveland, Katie Hampson, Sunny Townsend, Tiziana Lembo, Nicola Rooney, Helen Rebecca Whay, Joy Pritchard, Jane Murray, Lisa van Dijk, Natalie Waran, Heather Bacon, Darryn Knobel, Lou Tasker, Chris Baker, Lex Hiby

Abstract

Dogs are ubiquitous in human society and attempts to manage their populations are common to most countries. Managing dog populations is achieved through a range of interventions to suit the dog population dynamics and dog ownership characteristics of the location, with a number of potential impacts or goals in mind. Impact assessment provides the opportunity for interventions to identify areas of inefficiencies for improvement and build evidence of positive change. This scoping review collates 26 studies that have assessed the impacts of dog population management interventions. It reports the use of 29 indicators of change under 8 categories of impact and describes variation in the methods used to measure these indicators. The relatively few published examples of impact assessment in dog population management suggest this field is in its infancy; however this review highlights those notable exceptions. By describing those indicators and methods of measurement that have been reported thus far, and apparent barriers to efficient assessment, this review aims to support and direct future impact assessment.

X Demographics

X Demographics

The data shown below were collected from the profiles of 11 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 136 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 23 17%
Researcher 20 15%
Student > Ph. D. Student 16 12%
Student > Bachelor 10 7%
Other 8 6%
Other 24 18%
Unknown 35 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 31 23%
Agricultural and Biological Sciences 24 18%
Medicine and Dentistry 8 6%
Social Sciences 6 4%
Immunology and Microbiology 4 3%
Other 20 15%
Unknown 43 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 19 February 2019.
All research outputs
#1,795,295
of 22,977,819 outputs
Outputs from BMC Veterinary Research
#103
of 3,062 outputs
Outputs of similar age
#37,076
of 316,100 outputs
Outputs of similar age from BMC Veterinary Research
#3
of 93 outputs
Altmetric has tracked 22,977,819 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,062 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 96% 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 316,100 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 88% of its contemporaries.
We're also able to compare this research output to 93 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 96% of its contemporaries.