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A genetically specified connectomics approach applied to long-range feeding regulatory circuits

Overview of attention for article published in Nature Neuroscience, November 2014
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

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1 news outlet
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14 X users
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1 Facebook page

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237 Mendeley
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2 CiteULike
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Article details
Title
A genetically specified connectomics approach applied to long-range feeding regulatory circuits
Published in
Nature Neuroscience, November 2014
DOI 10.1038/nn.3854
Pubmed ID
Authors
Abstract

Synaptic connectivity and molecular composition provide a blueprint for information processing in neural circuits. Detailed structural analysis of neural circuits requires nanometer resolution, which can be obtained with serial-section electron microscopy. However, this technique remains challenging for reconstructing molecularly defined synapses. We used a genetically encoded synaptic marker for electron microscopy (GESEM) based on intra-vesicular generation of electron-dense labeling in axonal boutons. This approach allowed the identification of synapses from Cre recombinase-expressing or GAL4-expressing neurons in the mouse and fly with excellent preservation of ultrastructure. We applied this tool to visualize long-range connectivity of AGRP and POMC neurons in the mouse, two molecularly defined hypothalamic populations that are important for feeding behavior. Combining selective ultrastructural reconstruction of neuropil with functional and viral circuit mapping, we characterized some basic features of circuit organization for axon projections of these cell types. Our findings demonstrate that GESEM labeling enables long-range connectomics with molecularly defined cell types.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 237 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 %
United States 4 2%
Japan 3 1%
United Kingdom 3 1%
South Africa 1 <1%
Netherlands 1 <1%
Switzerland 1 <1%
Austria 1 <1%
Unknown 223 94%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 55 23%
Researcher 50 21%
Student > Bachelor 22 9%
Professor > Associate Professor 14 6%
Student > Master 13 5%
Other 39 16%
Unknown 44 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 78 33%
Neuroscience 67 28%
Medicine and Dentistry 19 8%
Biochemistry, Genetics and Molecular Biology 10 4%
Psychology 4 2%
Other 15 6%
Unknown 44 19%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. 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 03 November 2023.
All research outputs
#2,333,545
of 27,699,385 outputs
Outputs from Nature Neuroscience
#2,641
of 5,909 outputs
Outputs of similar age
#25,034
of 277,841 outputs
Outputs of similar age from Nature Neuroscience
#57
of 96 outputs
Altmetric has tracked 27,699,385 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,909 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 59.3. This one has gotten more attention than average, scoring higher than 55% 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 277,841 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 96 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.