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Cellular mechanotransduction: putting all the pieces together again

Overview of attention for article published in FASEB Journal, May 2006
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

blogs
1 blog
twitter
15 X users
patent
3 patents
facebook
3 Facebook pages
wikipedia
6 Wikipedia pages
googleplus
1 Google+ user

Citations

dimensions_citation
1351 Dimensions

Readers on

mendeley
1511 Mendeley
citeulike
4 CiteULike
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Title
Cellular mechanotransduction: putting all the pieces together again
Published in
FASEB Journal, May 2006
DOI 10.1096/fj.05-5424rev
Pubmed ID
Authors

Donald E. Ingber

Abstract

Analysis of cellular mechanotransduction, the mechanism by which cells convert mechanical signals into biochemical responses, has focused on identification of critical mechanosensitive molecules and cellular components. Stretch-activated ion channels, caveolae, integrins, cadherins, growth factor receptors, myosin motors, cytoskeletal filaments, nuclei, extracellular matrix, and numerous other structures and signaling molecules have all been shown to contribute to the mechanotransduction response. However, little is known about how these different molecules function within the structural context of living cells, tissues, and organs to produce the orchestrated cellular behaviors required for mechanosensation, embryogenesis, and physiological control. Recent work from a wide range of fields reveals that organ, tissue, and cell anatomy are as important for mechanotransduction as individual mechanosensitive proteins and that our bodies use structural hierarchies (systems within systems) composed of interconnected networks that span from the macroscale to the nanoscale in order to focus stresses on specific mechanotransducer molecules. The presence of isometric tension (prestress) at all levels of these multiscale networks ensures that various molecular scale mechanochemical transduction mechanisms proceed simultaneously and produce a concerted response. Future research in this area will therefore require analysis, understanding, and modeling of tensionally integrated (tensegrity) systems of mechanochemical control.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 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 1,511 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 36 2%
United Kingdom 9 <1%
Germany 8 <1%
Netherlands 8 <1%
Spain 4 <1%
Italy 3 <1%
France 3 <1%
Switzerland 3 <1%
Canada 3 <1%
Other 27 2%
Unknown 1407 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 442 29%
Researcher 216 14%
Student > Master 187 12%
Student > Bachelor 133 9%
Student > Doctoral Student 88 6%
Other 254 17%
Unknown 191 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 424 28%
Engineering 268 18%
Biochemistry, Genetics and Molecular Biology 152 10%
Medicine and Dentistry 133 9%
Physics and Astronomy 82 5%
Other 221 15%
Unknown 231 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 16 April 2024.
All research outputs
#1,435,523
of 25,394,764 outputs
Outputs from FASEB Journal
#608
of 11,453 outputs
Outputs of similar age
#2,453
of 83,946 outputs
Outputs of similar age from FASEB Journal
#3
of 64 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,453 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one has done particularly well, scoring higher than 94% 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 83,946 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 97% of its contemporaries.
We're also able to compare this research output to 64 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.