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Mouse models of mastitis – how physiological are they?

Overview of attention for article published in International Breastfeeding Journal, March 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (85th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (53rd percentile)

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12 X users
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1 patent
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1 Facebook page

Citations

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18 Dimensions

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56 Mendeley
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Title
Mouse models of mastitis – how physiological are they?
Published in
International Breastfeeding Journal, March 2015
DOI 10.1186/s13006-015-0038-5
Pubmed ID
Authors

Wendy V Ingman, Danielle J Glynn, Mark R Hutchinson

Abstract

Lactation mastitis is a common, but poorly understood, inflammatory breast disease that is a significant health burden. A better understanding of the aetiology of mastitis is urgently required, and will assist in the development of improved prevention and treatment strategies in both human and animal species. Studies in mice have the potential to greatly assist in identifying new drug candidates for clinical trials, and in developing a better understanding of the disease. Mouse models of mastitis involve administration of a mastitis-inducing agent to the mammary gland usually during lactation to examine the host immune response, and progression through to resolution of the disease. There are important variations in the protocols of these mouse models that critically affect the conclusions that can be drawn from the research. Some protocols involve weaning of offspring at the time of mastitis induction, and there are variations in the mastitis-inducing agent and its carrier. Induction of mammary gland involution through weaning of offspring limits the capacity to study the disease in the context of a lactating mammary gland. Administration of live bacteria in an aqueous carrier can cause sepsis, restricting the physiological relevance of the model. Mouse model research should employ appropriately designed controls and closely monitor the health of the mice. In this commentary, we discuss the advantages and study design limitations of each mouse model, and highlight the potential for further development of physiologically relevant mouse models of mastitis.

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 1 2%
Unknown 55 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 20%
Researcher 8 14%
Student > Ph. D. Student 6 11%
Other 5 9%
Lecturer 4 7%
Other 11 20%
Unknown 11 20%
Readers by discipline Count As %
Agricultural and Biological Sciences 11 20%
Veterinary Science and Veterinary Medicine 7 13%
Nursing and Health Professions 7 13%
Medicine and Dentistry 6 11%
Immunology and Microbiology 4 7%
Other 10 18%
Unknown 11 20%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 18 August 2022.
All research outputs
#3,135,701
of 24,955,994 outputs
Outputs from International Breastfeeding Journal
#146
of 595 outputs
Outputs of similar age
#38,632
of 268,875 outputs
Outputs of similar age from International Breastfeeding Journal
#7
of 13 outputs
Altmetric has tracked 24,955,994 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 595 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 75% 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 268,875 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 85% of its contemporaries.
We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.