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A new method for quantifying mitochondrial axonal transport

Overview of attention for article published in Protein & Cell, May 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (76th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (64th percentile)

Mentioned by

news
1 news outlet

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
91 Mendeley
Title
A new method for quantifying mitochondrial axonal transport
Published in
Protein & Cell, May 2016
DOI 10.1007/s13238-016-0268-3
Pubmed ID
Authors

Mengmeng Chen, Yang Li, Mengxue Yang, Xiaoping Chen, Yemeng Chen, Fan Yang, Sheng Lu, Shengyu Yao, Timothy Zhou, Jianghong Liu, Li Zhu, Sidan Du, Jane Y Wu

Abstract

Axonal transport of mitochondria is critical for neuronal survival and function. Automatically quantifying and analyzing mitochondrial movement in a large quantity remain challenging. Here, we report an efficient method for imaging and quantifying axonal mitochondrial transport using microfluidic-chamber-cultured neurons together with a newly developed analysis package named "MitoQuant". This tool-kit consists of an automated program for tracking mitochondrial movement inside live neuronal axons and a transient-velocity analysis program for analyzing dynamic movement patterns of mitochondria. Using this method, we examined axonal mitochondrial movement both in cultured mammalian neurons and in motor neuron axons of Drosophila in vivo. In 3 different paradigms (temperature changes, drug treatment and genetic manipulation) that affect mitochondria, we have shown that this new method is highly efficient and sensitive for detecting changes in mitochondrial movement. The method significantly enhanced our ability to quantitatively analyze axonal mitochondrial movement and allowed us to detect dynamic changes in axonal mitochondrial transport that were not detected by traditional kymographic analyses.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Japan 1 1%
Israel 1 1%
United States 1 1%
Russia 1 1%
Unknown 87 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 23 25%
Researcher 17 19%
Student > Master 16 18%
Student > Doctoral Student 6 7%
Student > Bachelor 5 5%
Other 8 9%
Unknown 16 18%
Readers by discipline Count As %
Neuroscience 22 24%
Agricultural and Biological Sciences 20 22%
Biochemistry, Genetics and Molecular Biology 17 19%
Engineering 5 5%
Chemistry 2 2%
Other 5 5%
Unknown 20 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 September 2016.
All research outputs
#4,544,312
of 24,226,848 outputs
Outputs from Protein & Cell
#190
of 790 outputs
Outputs of similar age
#74,525
of 341,787 outputs
Outputs of similar age from Protein & Cell
#6
of 14 outputs
Altmetric has tracked 24,226,848 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 790 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.6. 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 341,787 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 76% of its contemporaries.
We're also able to compare this research output to 14 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 64% of its contemporaries.