↓ Skip to main content

PLOS

Mouse Estrous Cycle Identification Tool and Images

Overview of attention for article published in PLOS ONE, April 2012
Altmetric Badge

Mentioned by

news
2 news outlets
blogs
1 blog
twitter
5 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
816 Dimensions

Readers on

mendeley
1491 Mendeley
Title
Mouse Estrous Cycle Identification Tool and Images
Published in
PLOS ONE, April 2012
DOI 10.1371/journal.pone.0035538
Pubmed ID
Authors

Shannon L. Byers, Michael V. Wiles, Sadie L. Dunn, Robert A. Taft

Abstract

The efficiency of producing timed pregnant or pseudopregnant mice can be increased by identifying those in proestrus or estrus. Visual observation of the vagina is the quickest method, requires no special equipment, and is best used when only proestrus or estrus stages need to be identified. Strain to strain differences, especially in coat color can make it difficult to determine the stage of the estrous cycle accurately by visual observation. Presented here are a series of images of the vaginal opening at each stage of the estrous cycle for 3 mouse strains of different coat colors: black (C57BL/6J), agouti (CByB6F1/J) and albino (BALB/cByJ). When all 4 stages (proestrus, estrus, metestrus, and diestrus) need to be identified, vaginal cytology is regarded as the most accurate method. An identification tool is presented to aid the user in determining the stage of estrous when using vaginal cytology. These images and descriptions are an excellent resource for learning how to determine the stage of the estrous cycle by visual observation or vaginal cytology.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 1,491 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 <1%
United Kingdom 4 <1%
Brazil 3 <1%
France 2 <1%
Netherlands 2 <1%
Portugal 2 <1%
Japan 2 <1%
Germany 1 <1%
India 1 <1%
Other 12 <1%
Unknown 1454 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 289 19%
Student > Bachelor 229 15%
Researcher 183 12%
Student > Master 167 11%
Student > Doctoral Student 90 6%
Other 179 12%
Unknown 354 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 331 22%
Neuroscience 225 15%
Biochemistry, Genetics and Molecular Biology 210 14%
Medicine and Dentistry 131 9%
Pharmacology, Toxicology and Pharmaceutical Science 45 3%
Other 156 10%
Unknown 393 26%