Validation of triaxial accelerometers to measure the lying behaviour of adult domestic horses
Animal, ISSN: 1751-7311, Vol: 9, Issue: 1, Page: 110-114
2015
- 23Citations
- 61Captures
Metric Options: Counts1 Year3 YearSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Citations23
- Citation Indexes23
- 23
- CrossRef15
- Captures61
- Readers61
- 61
Article Description
Examining the characteristics of an animal’s lying behaviour, such as frequency and duration of lying bouts, has become increasingly relevant for animal welfare research. Triaxial accelerometers have the advantage of being able to continuously monitor an animal’s standing and lying behaviour without relying on live observations or video recordings. Multiple models of accelerometers have been validated for use in monitoring dairy cattle; however, no units have been validated for use in equines. This study tested Onset Pendant G data loggers attached to the hind limb of each of two mature Standardbred horses for a period of 5 days. Data loggers were set to record their position every 20 s. Horses were monitored via live observations during the day and by video recordings during the night to compare activity against accelerometer data. All lying events occurred overnight (three to five lying bouts per horse per night). Data collected from the loggers was converted and edited using a macro program to calculate the number of bouts and the length of time each animal spent lying down by hour and by day. A paired t -test showed no significant difference between the video observations and the output from the data loggers ( P= 0.301). The data loggers did not distinguish standing hipshot from standing square. Predictability, sensitivity, and specificity were all >99%. This study has validated the use of Onset Pendant G data loggers to determine the frequency and duration of standing and lying bouts in adult horses when set to sample and register readings at 20 s intervals.
Bibliographic Details
http://www.sciencedirect.com/science/article/pii/S175173111400247X; http://dx.doi.org/10.1017/s175173111400247x; http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=84919330847&origin=inward; http://www.ncbi.nlm.nih.gov/pubmed/25273864; https://linkinghub.elsevier.com/retrieve/pii/S175173111400247X; http://www.journals.cambridge.org/abstract_S175173111400247X; https://www.cambridge.org/core/services/aop-cambridge-core/content/view/S175173111400247X
Elsevier BV
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know