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Imaging and Manipulating Pituitary Function in the Awake Mouse

Overview of attention for article published in Endocrinology, July 2019
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39 Mendeley
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Article details
Title
Imaging and Manipulating Pituitary Function in the Awake Mouse
Published in
Endocrinology, July 2019
DOI 10.1210/en.2019-00297
Pubmed ID
Authors
Abstract

Extensive efforts have been made to explore how the activities of multiple brain cells combine to alter physiology through imaging and cell-specific manipulation in different animal models. However, the temporal regulation of peripheral organs by the neuroendocrine factors released by the brain is poorly understood. We have established a suite of adaptable methodologies to interrogate in vivo the relationship of hypothalamic regulation with the secretory output of the pituitary gland, which has complex functional networks of multiple cell types intermingled with the vasculature. These allow imaging and optogenetic manipulation of cell activities in the pituitary gland in awake mouse models, in which both neuronal regulatory activity and hormonal output are preserved. This methodology is now readily applicable for longitudinal studies of short-lived events (e.g. calcium signals controlling hormone exocytosis) and slowly-evolving processes such as tissue remodelling in health and disease over a period of days to weeks.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 7 18%
Student > Doctoral Student 5 13%
Student > Ph. D. Student 5 13%
Student > Master 4 10%
Student > Bachelor 3 8%
Other 4 10%
Unknown 11 28%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 8 21%
Neuroscience 6 15%
Biochemistry, Genetics and Molecular Biology 4 10%
Pharmacology, Toxicology and Pharmaceutical Science 3 8%
Medicine and Dentistry 2 5%
Other 3 8%
Unknown 13 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 02 September 2021.
All research outputs
#17,852,626
of 27,791,073 outputs
Outputs from Endocrinology
#9,857
of 12,167 outputs
Outputs of similar age
#209,833
of 362,749 outputs
Outputs of similar age from Endocrinology
#35
of 66 outputs
Altmetric has tracked 27,791,073 research outputs across all sources so far. This one is in the 33rd percentile – i.e., 33% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,167 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 17th percentile – i.e., 17% 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 362,749 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 66 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.