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Endogenous voltage gradients as mediators of cell-cell communication: strategies for investigating bioelectrical signals during pattern formation

Overview of attention for article published in Cell and Tissue Research, February 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

Mentioned by

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2 X users
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1 Facebook page
wikipedia
1 Wikipedia page

Citations

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154 Dimensions

Readers on

mendeley
181 Mendeley
Title
Endogenous voltage gradients as mediators of cell-cell communication: strategies for investigating bioelectrical signals during pattern formation
Published in
Cell and Tissue Research, February 2012
DOI 10.1007/s00441-012-1329-4
Pubmed ID
Authors

Dany S. Adams, Michael Levin

Abstract

Alongside the well-known chemical modes of cell-cell communication, we find an important and powerful system of bioelectrical signaling: changes in the resting voltage potential (Vmem) of the plasma membrane driven by ion channels, pumps and gap junctions. Slow Vmem changes in all cells serve as a highly conserved, information-bearing pathway that regulates cell proliferation, migration and differentiation. In embryonic and regenerative pattern formation and in the disorganization of neoplasia, bioelectrical cues serve as mediators of large-scale anatomical polarity, organ identity and positional information. Recent developments have resulted in tools that enable a high-resolution analysis of these biophysical signals and their linkage with upstream and downstream canonical genetic pathways. Here, we provide an overview for the study of bioelectric signaling, focusing on state-of-the-art approaches that use molecular physiology and developmental genetics to probe the roles of bioelectric events functionally. We highlight the logic, strategies and well-developed technologies that any group of researchers can employ to identify and dissect ionic signaling components in their own work and thus to help crack the bioelectric code. The dissection of bioelectric events as instructive signals enabling the orchestration of cell behaviors into large-scale coherent patterning programs will enrich on-going work in diverse areas of biology, as biophysical factors become incorporated into our systems-level understanding of cell interactions.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 181 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
United Kingdom 2 1%
Germany 1 <1%
Portugal 1 <1%
France 1 <1%
Unknown 174 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 49 27%
Researcher 34 19%
Student > Master 24 13%
Student > Doctoral Student 12 7%
Student > Bachelor 11 6%
Other 26 14%
Unknown 25 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 54 30%
Biochemistry, Genetics and Molecular Biology 29 16%
Engineering 17 9%
Medicine and Dentistry 12 7%
Neuroscience 7 4%
Other 29 16%
Unknown 33 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 20 November 2023.
All research outputs
#7,094,093
of 25,109,675 outputs
Outputs from Cell and Tissue Research
#447
of 2,227 outputs
Outputs of similar age
#44,208
of 161,868 outputs
Outputs of similar age from Cell and Tissue Research
#13
of 33 outputs
Altmetric has tracked 25,109,675 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 2,227 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 79% 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 161,868 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 72% of its contemporaries.
We're also able to compare this research output to 33 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 63% of its contemporaries.