↓ Skip to main content

The use of infrared thermography to detect the stages of estrus cycle and ovulation time in anatolian shepherd dogs

Overview of attention for article published in Journal of Animal Science and Technology, October 2017
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
11 Dimensions

Readers on

mendeley
27 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
The use of infrared thermography to detect the stages of estrus cycle and ovulation time in anatolian shepherd dogs
Published in
Journal of Animal Science and Technology, October 2017
DOI 10.1186/s40781-017-0146-4
Pubmed ID
Authors

Kemal Tuna Olğaç, Ergun Akçay, Beste Çil, Burak Mehmet Uçar, Ali Daşkın

Abstract

The aim of the study is to evaluate the effectiveness of thermographic monitoring, using the temperature changes of perianal and perivulvar areas for the determination of estrus in Anatolian Shepherd bitches. Fifteen bitches were used in the study. Blood and vaginal smear samples were collected and thermographic monitoring of perianal and perivulvar areas were carried out starting from proestrus to early diestrus. Also, external signs of estrus were investigated. Smear samples were evaluated by light microscopy after Diff-Quik staining method and superficial and keratinized superficial cells were determined as percentage (S + KS%). Progesterone and luteinizing hormone measurements were done by radioimmunoassay. The difference in temperature between perianal and perivulvar areas was evaluated through thermographic images by FLIR ResearchIR Software. According to the results obtained from the study, differences between progesterone and S + KS% were statistically significant (P < 0,05). Although temperature showed increase and decrease with progesterone and S + KS%, the differences were not important statistically (P > 0,05). Serum luteinizing hormone levels did not sign any difference (P > 0,05). As a result, thermographic monitoring alone is not enough for estrus detection in Anatolian Shepherd bitches. However, it can be used to assist the actual estrus detection technique in terms of providing some foreknowledge by evaluating the differences in temperature.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 27 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 19%
Other 3 11%
Student > Bachelor 3 11%
Student > Master 3 11%
Student > Postgraduate 2 7%
Other 2 7%
Unknown 9 33%
Readers by discipline Count As %
Veterinary Science and Veterinary Medicine 14 52%
Environmental Science 1 4%
Agricultural and Biological Sciences 1 4%
Medicine and Dentistry 1 4%
Unknown 10 37%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 October 2017.
All research outputs
#22,764,772
of 25,382,440 outputs
Outputs from Journal of Animal Science and Technology
#123
of 190 outputs
Outputs of similar age
#292,994
of 333,675 outputs
Outputs of similar age from Journal of Animal Science and Technology
#1
of 2 outputs
Altmetric has tracked 25,382,440 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 190 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 333,675 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them