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Super-resolution microscopy in studying neuroendocrine cell function

Overview of attention for article published in Frontiers in Neuroscience, January 2013
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Title
Super-resolution microscopy in studying neuroendocrine cell function
Published in
Frontiers in Neuroscience, January 2013
DOI 10.3389/fnins.2013.00222
Pubmed ID
Authors

Anneka Bost, Mathias Pasche, Claudia Schirra, Ute Becherer

Abstract

The last two decades have seen a tremendous development in high resolution microscopy techniques giving rise to acronyms such as TIRFM, SIM, PALM, STORM, and STED. The goal of all these techniques is to overcome the physical resolution barrier of light microscopy in order to resolve precise protein localization and possibly their interaction in cells. Neuroendocrine cell function is to secrete hormones and peptides on demand. This fine-tuned multi-step process is mediated by a large array of proteins. Here, we review the new microscopy techniques used to obtain high resolution and how they have been applied to increase our knowledge of the molecular mechanisms involved in neuroendocrine cell secretion. Further the limitations of these methods are discussed and insights in possible new applications are provided.

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 readers

Mendeley readers

The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Portugal 1 3%
Canada 1 3%
Unknown 33 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 8 22%
Researcher 7 19%
Professor > Associate Professor 4 11%
Other 3 8%
Student > Bachelor 2 6%
Other 8 22%
Unknown 4 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 9 25%
Biochemistry, Genetics and Molecular Biology 6 17%
Neuroscience 6 17%
Medicine and Dentistry 5 14%
Physics and Astronomy 1 3%
Other 2 6%
Unknown 7 19%
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 17 August 2018.
All research outputs
#16,045,990
of 25,368,786 outputs
Outputs from Frontiers in Neuroscience
#7,061
of 11,537 outputs
Outputs of similar age
#180,248
of 288,991 outputs
Outputs of similar age from Frontiers in Neuroscience
#142
of 246 outputs
Altmetric has tracked 25,368,786 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,537 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.9. This one is in the 36th percentile – i.e., 36% 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 288,991 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 246 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.