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Coupled cell networks are target cells of inflammation, which can spread between different body organs and develop into systemic chronic inflammation

Overview of attention for article published in Journal of Inflammation, July 2015
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Mentioned by

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1 tweeter

Citations

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15 Dimensions

Readers on

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26 Mendeley
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Title
Coupled cell networks are target cells of inflammation, which can spread between different body organs and develop into systemic chronic inflammation
Published in
Journal of Inflammation, July 2015
DOI 10.1186/s12950-015-0091-2
Pubmed ID
Authors

Elisabeth Hansson, Eva Skiöldebrand

Abstract

Several organs in the body comprise cells coupled into networks. These cells have in common that they are excitable but do not express action potentials. Furthermore, they are equipped with Ca(2+) signaling systems, which can be intercellular and/or extracellular. The transport of small molecules between the cells occurs through gap junctions comprising connexin 43. Examples of cells coupled into networks include astrocytes, keratinocytes, chondrocytes, synovial fibroblasts, osteoblasts, connective tissue cells, cardiac and corneal fibroblasts, myofibroblasts, hepatocytes, and different types of glandular cells. These cells are targets for inflammation, which can be initiated after injury or in disease. If the inflammation reaches the CNS, it develops into neuroinflammation and can be of importance in the development of systemic chronic inflammation, which can manifest as pain and result in changes in the expression and structure of cellular components. Biochemical parameters of importance for cellular functions are described in this review.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 23%
Researcher 5 19%
Student > Bachelor 4 15%
Other 2 8%
Student > Master 2 8%
Other 4 15%
Unknown 3 12%
Readers by discipline Count As %
Medicine and Dentistry 7 27%
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Neuroscience 3 12%
Veterinary Science and Veterinary Medicine 2 8%
Agricultural and Biological Sciences 2 8%
Other 4 15%
Unknown 5 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 27 July 2015.
All research outputs
#4,706,065
of 6,368,969 outputs
Outputs from Journal of Inflammation
#91
of 156 outputs
Outputs of similar age
#135,153
of 194,549 outputs
Outputs of similar age from Journal of Inflammation
#4
of 8 outputs
Altmetric has tracked 6,368,969 research outputs across all sources so far. This one is in the 14th percentile – i.e., 14% of other outputs scored the same or lower than it.
So far Altmetric has tracked 156 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 194,549 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 4 of them.