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Development of learning objectives for neurology in a veterinary curriculum: Part II: Postgraduates

Overview of attention for article published in BMC Veterinary Research, January 2015
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  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

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38 Mendeley
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Title
Development of learning objectives for neurology in a veterinary curriculum: Part II: Postgraduates
Published in
BMC Veterinary Research, January 2015
DOI 10.1186/s12917-014-0314-4
Pubmed ID
Authors

Yu-Wei Lin, Holger A Volk, Jacques Penderis, Thomas J Anderson, Sonia Añor, Alejandro Lujan-Feliu-Pascual, Veronika M Stein, Andrea Tipold, Jan P Ehlers

Abstract

BackgroundSpecialization in veterinary medicine in Europe is organized through the Colleges of the European Board of Veterinary Specialization. To inform updating of the curriculum for residents of the European College of Veterinary Neurology (ECVN) job analysis was used. Defining job competencies of diploma holders in veterinary neurology can be used as references for curriculum design of resident training. With the support of the diplomates of the ECVN and the members of the European Society of Veterinary Neurology (ESVN) a mixed-method research, including a qualitative search of objectives and quantitative ranking with 149 Likert scale questions and 48 free text questions in 9 categories in a survey was conducted. In addition, opinions of different groups were subjected to statistical analysis and the result compared.ResultsA return rate of 62% (n¿=¿213/341) was achieved. Of the competencies identified by the Delphi process, 75% objectives were expected to attain expert level; 24% attain advanced level; 1% entry level. In addition, the exercise described the 11 highly ranked competencies, the 3 most frequently seen diseases of the central and peripheral nervous systems and the most frequently used immunosuppressive, antiepileptic and chemotherapeutic drugs.ConclusionThe outcomes of this ¿Delphi job analysis¿ provide a powerful tool to align the curriculum for ECVN resident training and can be adapted to the required job competencies, based on expectations. The expectation is that for majority of these competencies diplomates should attain an expert level. Besides knowledge and clinical skills, residents and diplomates are expected to demonstrate high standards in teaching and communication. The results of this study will help to create a European curriculum for postgraduate education in veterinary neurology.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 38 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 13%
Student > Master 5 13%
Other 4 11%
Student > Doctoral Student 4 11%
Lecturer > Senior Lecturer 3 8%
Other 10 26%
Unknown 7 18%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 9 24%
Medicine and Dentistry 6 16%
Nursing and Health Professions 3 8%
Agricultural and Biological Sciences 2 5%
Computer Science 2 5%
Other 10 26%
Unknown 6 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 02 February 2015.
All research outputs
#6,189,036
of 24,489,051 outputs
Outputs from BMC Veterinary Research
#407
of 3,177 outputs
Outputs of similar age
#79,517
of 362,375 outputs
Outputs of similar age from BMC Veterinary Research
#11
of 89 outputs
Altmetric has tracked 24,489,051 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 3,177 research outputs from this source. They receive a mean Attention Score of 4.3. This one has done well, scoring higher than 87% 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 362,375 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 78% of its contemporaries.
We're also able to compare this research output to 89 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.