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Probing the mystery of Chinese medicine meridian channels with special emphasis on the connective tissue interstitial fluid system, mechanotransduction, cells durotaxis and mast cell degranulation

Overview of attention for article published in Chinese Medicine, January 2009
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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 (#23 of 351)
  • High Attention Score compared to outputs of the same age (88th percentile)

Mentioned by

twitter
8 tweeters
facebook
9 Facebook pages
googleplus
1 Google+ user

Citations

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25 Dimensions

Readers on

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49 Mendeley
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Title
Probing the mystery of Chinese medicine meridian channels with special emphasis on the connective tissue interstitial fluid system, mechanotransduction, cells durotaxis and mast cell degranulation
Published in
Chinese Medicine, January 2009
DOI 10.1186/1749-8546-4-10
Pubmed ID
Authors

Peter Fung

Abstract

This article hypothesizes that the Chinese medicine meridian system is a special channel network comprising of skin with abundant nerves and nociceptive receptors of various types, and deeper connective tissues inside the body with the flowing interstitial fluid system. These meridian channels provide efficient migratory tracks mainly due to durotaxis (also including chemotaxis) for mast cells, fibroblasts and other cells to migrate and carry out a number of physiological functions. Acupuncture acting on meridian channel causes cytoskeletal remodeling through mechanotransduction, leading to regulation of gene expression and the subsequent production of related proteins. Also, stimulation on cell surface can trigger Ca2+ activities, resulting in a cascade of intra- and inter-cellular signaling. Moreover, nerve endings in the meridian channels interact with mast cells and induce the degranulation of these cells, leading to the release of many specific biomolecules needed for homeostasis, immune surveillance, wound healing and tissue repair. Acupoint along a meridian channel is a functional site to trigger the above functions with specificity and high efficiency.

Twitter Demographics

The data shown below were collected from the profiles of 8 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 3 6%
Australia 1 2%
France 1 2%
Chile 1 2%
Malaysia 1 2%
Taiwan 1 2%
United States 1 2%
Unknown 40 82%

Demographic breakdown

Readers by professional status Count As %
Researcher 9 18%
Student > Master 8 16%
Student > Ph. D. Student 6 12%
Student > Bachelor 6 12%
Professor > Associate Professor 4 8%
Other 11 22%
Unknown 5 10%
Readers by discipline Count As %
Medicine and Dentistry 19 39%
Engineering 7 14%
Agricultural and Biological Sciences 7 14%
Nursing and Health Professions 4 8%
Sports and Recreations 1 2%
Other 5 10%
Unknown 6 12%

Attention Score in Context

This research output has an Altmetric Attention Score of 11. 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 24 November 2020.
All research outputs
#1,947,553
of 16,271,697 outputs
Outputs from Chinese Medicine
#23
of 351 outputs
Outputs of similar age
#15,688
of 138,840 outputs
Outputs of similar age from Chinese Medicine
#1
of 3 outputs
Altmetric has tracked 16,271,697 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 351 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 93% 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 138,840 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 88% of its contemporaries.
We're also able to compare this research output to 3 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