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Stimulating collaboration between human and veterinary health care professionals

Overview of attention for article published in BMC Veterinary Research, June 2017
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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 (#45 of 3,054)
  • High Attention Score compared to outputs of the same age (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (98th percentile)

Mentioned by

news
2 news outlets
blogs
2 blogs
twitter
7 tweeters
wikipedia
1 Wikipedia page

Citations

dimensions_citation
8 Dimensions

Readers on

mendeley
41 Mendeley
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Title
Stimulating collaboration between human and veterinary health care professionals
Published in
BMC Veterinary Research, June 2017
DOI 10.1186/s12917-017-1072-x
Pubmed ID
Authors

Björn G.M. Eussen, Jaap Schaveling, Maria J. Dragt, Robert Jan Blomme

Abstract

Despite the need to control outbreaks of (emerging) zoonotic diseases and the need for added value in comparative/translational medicine, jointly addressed in the One Health approach [One health Initiative (n.d.a). About the One Health Initiative. http://www.onehealthinitiative.com/about.php . Accessed 13 September 2016], collaboration between human and veterinary health care professionals is limited. This study focuses on the social dilemma experienced by health care professionals and ways in which an interdisciplinary approach could be developed. Based on Gaertner and Dovidio's Common Ingroup Identity Model, a number of questionnaires were designed and tested; with PROGRESS, the relation between collaboration and common goal was assessed, mediated by decategorization, recategorization, mutual differentiation and knowledge sharing. This study confirms the Common Ingroup Identity Model stating that common goals stimulate collaboration. Decategorization and mutual differentiation proved to be significant in this relationship; recategorization and knowledge sharing mediate this relation. It can be concluded that the Common Ingroup Identity Model theory helps us to understand how health care professionals perceive the One Health initiative and how they can intervene in this process. In the One Health approach, professional associations could adopt a facilitating role.

Twitter Demographics

The data shown below were collected from the profiles of 7 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 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 29%
Researcher 9 22%
Student > Ph. D. Student 5 12%
Student > Bachelor 4 10%
Student > Doctoral Student 2 5%
Other 5 12%
Unknown 4 10%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 10 24%
Social Sciences 6 15%
Business, Management and Accounting 3 7%
Nursing and Health Professions 3 7%
Agricultural and Biological Sciences 3 7%
Other 9 22%
Unknown 7 17%

Attention Score in Context

This research output has an Altmetric Attention Score of 34. 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 December 2022.
All research outputs
#1,018,850
of 22,889,074 outputs
Outputs from BMC Veterinary Research
#45
of 3,054 outputs
Outputs of similar age
#22,859
of 316,975 outputs
Outputs of similar age from BMC Veterinary Research
#1
of 88 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,054 research outputs from this source. They receive a mean Attention Score of 3.9. 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 316,975 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 92% of its contemporaries.
We're also able to compare this research output to 88 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.