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Metabolic Influences on Risk for Tendon Disorders

Overview of attention for book
Cover of 'Metabolic Influences on Risk for Tendon Disorders'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Tendon Structure and Composition
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    Chapter 2 Collagen Homeostasis and Metabolism
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    Chapter 3 Blood Supply
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    Chapter 4 Tendon Innervation
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    Chapter 5 Tendon Stem Cells: Mechanobiology and Development of Tendinopathy
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    Chapter 6 Informing Stem Cell-Based Tendon Tissue Engineering Approaches with Embryonic Tendon Development
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    Chapter 7 Metabolic Influences on Risk for Tendon Disorders
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    Chapter 8 Methods of Assessing Human Tendon Metabolism and Tissue Properties in Response to Changes in Mechanical Loading
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    Chapter 9 Towards an Understanding of the Genetics of Tendinopathy
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    Chapter 10 Tendons Involvement in Congenital Metabolic Disorders
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    Chapter 11 Hyperuricemia in Tendons
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    Chapter 12 Influence of Thyroid Hormones on Tendon Homeostasis
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    Chapter 13 Sex Hormones and Tendon
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    Chapter 14 Tendon Homeostasis in Hypercholesterolemia
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    Chapter 15 How Obesity Affects Tendons?
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    Chapter 16 Does Diabetes Mellitus Affect Tendon Healing?
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    Chapter 17 Metalloproteinase Changes in Diabetes
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    Chapter 18 How High Glucose Levels Affect Tendon Homeostasis
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    Chapter 19 Rehabilitation of Tendon Problems in Patients with Diabetes Mellitus
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    Chapter 20 Inflammation in Tendon Disorders
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    Chapter 21 Deep Venous Thrombosis and Tendon Healing
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    Chapter 22 Drug-Induced Tendon Disorders
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    Chapter 23 The Effects of Glucocorticoid on Tendon and Tendon Derived Cells
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    Chapter 24 Influence of Ageing on Tendon Homeostasis
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    Chapter 25 Does Platelet-Rich Plasma Increase Tendon Metabolism?
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    Chapter 26 Metabolic Influences on Risk for Tendon Disorders
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    Chapter 27 Do Dietary Factors Influence Tendon Metabolism?
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    Chapter 28 General Overview and Summary of Concepts Regarding Tendon Disease Topics Addressed Related to Metabolic Disorders
Attention for Chapter 23: The Effects of Glucocorticoid on Tendon and Tendon Derived Cells
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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 (84th percentile)
  • High Attention Score compared to outputs of the same age and source (94th percentile)

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Chapter title
The Effects of Glucocorticoid on Tendon and Tendon Derived Cells
Chapter number 23
Book title
Metabolic Influences on Risk for Tendon Disorders
Published in
Advances in experimental medicine and biology, August 2016
DOI 10.1007/978-3-319-33943-6_23
Pubmed ID
Book ISBNs
978-3-31-933941-2, 978-3-31-933943-6
Authors

Benjamin John Floyd Dean, Andrew Jonathan Carr, Dean, Benjamin John Floyd, Carr, Andrew Jonathan

Editors

Paul W. Ackermann, David A. Hart

Abstract

Glucocorticoids are generally used to relieve pain and/or inflammation in a wide variety of musculoskeletal disorders including osteoarthritis, inflammatory arthritis, tendinopathy and degenerative spine disease. Glucocorticoids reduce tendon derived cell proliferation in vitro and reduce extracellular matrix synthesis both in vitro and in vivo, in particular type I collagen synthesis. Glucocorticoids also appear to result in acute deleterious changes in healthy in vivo tendon including collagen necrosis, collagen disorganisation and inflammatory cell infiltration; while the overall effect of glucocorticoid administration on the mechanical properties of healthy in vivo tendon are generally negative. Overall the existing in vitro and in vivo evidence suggests that glucocorticoids should be used with caution in treating painful tendinopathy. Certainly a real need exists to follow up the long term clinical effects of glucocorticoid in treating tendinopathy, as there is currently a paucity of evidence in this area. However in this context while the short term benefits are clear, glucocorticoids remain a useful treatment option provided they are used in the right patients in sensible moderation.

X Demographics

X Demographics

The data shown below were collected from the profiles of 14 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 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 44 100%

Demographic breakdown

Readers by professional status Count As %
Other 6 14%
Student > Bachelor 5 11%
Student > Master 4 9%
Researcher 4 9%
Student > Postgraduate 3 7%
Other 7 16%
Unknown 15 34%
Readers by discipline Count As %
Medicine and Dentistry 13 30%
Nursing and Health Professions 7 16%
Immunology and Microbiology 2 5%
Biochemistry, Genetics and Molecular Biology 1 2%
Social Sciences 1 2%
Other 3 7%
Unknown 17 39%
Attention Score in Context

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 15 April 2017.
All research outputs
#2,955,088
of 23,314,015 outputs
Outputs from Advances in experimental medicine and biology
#458
of 4,989 outputs
Outputs of similar age
#52,567
of 344,623 outputs
Outputs of similar age from Advances in experimental medicine and biology
#5
of 96 outputs
Altmetric has tracked 23,314,015 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,989 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one has done particularly well, scoring higher than 90% 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 344,623 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 84% of its contemporaries.
We're also able to compare this research output to 96 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 94% of its contemporaries.