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Long range physical cell-to-cell signalling via mitochondria inside membrane nanotubes: a hypothesis

Overview of attention for article published in Theoretical Biology and Medical Modelling, June 2016
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#22 of 288)
  • High Attention Score compared to outputs of the same age (89th percentile)

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30 X users
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2 Facebook pages

Citations

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28 Dimensions

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60 Mendeley
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Title
Long range physical cell-to-cell signalling via mitochondria inside membrane nanotubes: a hypothesis
Published in
Theoretical Biology and Medical Modelling, June 2016
DOI 10.1186/s12976-016-0042-5
Pubmed ID
Authors

Felix Scholkmann

Abstract

Coordinated interaction of single cells by cell-to-cell communication (signalling) enables complex behaviour necessary for the functioning of multicellular organisms. A quite newly discovered cell-to-cell signalling mechanism relies on nanotubular cell-co-cell connections, termed "membrane nanotubes" (MNTs). The present paper presents the hypothesis that mitochondria inside MNTs can form a connected structure (mitochondrial network) which enables the exchange of energy and signals between cells. It is proposed that two modes of energy and signal transmission may occur: electrical/electrochemical and electromagnetic (optical). Experimental work supporting the hypothesis is reviewed, and suggestions for future research regarding the discussed topic are given.

X Demographics

X Demographics

The data shown below were collected from the profiles of 30 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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
France 1 2%
Unknown 59 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 28%
Student > Ph. D. Student 10 17%
Student > Master 6 10%
Student > Bachelor 5 8%
Other 3 5%
Other 7 12%
Unknown 12 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 23%
Agricultural and Biological Sciences 7 12%
Medicine and Dentistry 7 12%
Physics and Astronomy 6 10%
Neuroscience 4 7%
Other 7 12%
Unknown 15 25%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 08 April 2024.
All research outputs
#2,126,238
of 25,848,962 outputs
Outputs from Theoretical Biology and Medical Modelling
#22
of 288 outputs
Outputs of similar age
#36,697
of 356,994 outputs
Outputs of similar age from Theoretical Biology and Medical Modelling
#1
of 1 outputs
Altmetric has tracked 25,848,962 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 288 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 92% 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 356,994 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 89% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them