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The value of necropsy reports for animal health surveillance

Overview of attention for article published in BMC Veterinary Research, June 2018
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  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

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Title
The value of necropsy reports for animal health surveillance
Published in
BMC Veterinary Research, June 2018
DOI 10.1186/s12917-018-1505-1
Pubmed ID
Authors

Susanne Küker, Celine Faverjon, Lenz Furrer, John Berezowski, Horst Posthaus, Fabio Rinaldi, Flavie Vial

Abstract

Animal health data recorded in free text, such as in necropsy reports, can have valuable information for national surveillance systems. However, these data are rarely utilized because the text format requires labor-intensive classification of records before they can be analyzed with using statistical or other software. In a previous study, we designed a text-mining tool to extract data from text in necropsy reports. In the current study, we used the tool to extract data from the reports from pig and cattle necropsies performed between 2000 and 2011 at the Institute of Animal Pathology (ITPA), University of Bern, Switzerland. We evaluated data quality in terms of credibility, completeness and representativeness of the Swiss pig and cattle populations. Data was easily extracted from necropsy reports. Data quality in terms of completeness and validity varied a lot depending on the type of data reported. Diseases of the gastrointestinal system were reported most frequently (54.6% of pig submissions and 40.8% of cattle submissions). Diseases affecting serous membranes were reported in 16.0% of necropsied pigs and 27.6% of cattle. Respiratory diseases were reported in 18.3% of pigs and 21.6% of cattle submissions. This study suggests that extracting data from necropsy reports can provide information of value for animal health surveillance. This data has potential value for monitoring endemic disease syndromes in different age and production groups, or for early detection of emerging or re-emerging diseases. The study identified data entry and other errors that could be corrected to improve the quality and validity of the data. Submissions to veterinary diagnostic laboratories have selection biases and these should be considered when designing surveillance systems that include necropsy reports.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 85 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 85 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 20%
Student > Master 12 14%
Student > Bachelor 12 14%
Other 7 8%
Student > Doctoral Student 4 5%
Other 11 13%
Unknown 22 26%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 32 38%
Agricultural and Biological Sciences 14 16%
Environmental Science 3 4%
Medicine and Dentistry 3 4%
Nursing and Health Professions 2 2%
Other 8 9%
Unknown 23 27%
Attention Score in Context

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 08 January 2019.
All research outputs
#7,323,440
of 23,090,520 outputs
Outputs from BMC Veterinary Research
#600
of 3,078 outputs
Outputs of similar age
#125,811
of 328,114 outputs
Outputs of similar age from BMC Veterinary Research
#11
of 70 outputs
Altmetric has tracked 23,090,520 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 3,078 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 79% 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 328,114 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 60% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.