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Molecular signaling mechanisms behind polyphenol-induced bone anabolism

Overview of attention for article published in Phytochemistry Reviews, August 2017
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Title
Molecular signaling mechanisms behind polyphenol-induced bone anabolism
Published in
Phytochemistry Reviews, August 2017
DOI 10.1007/s11101-017-9529-x
Pubmed ID
Authors

Elisa Torre

Abstract

For millennia, in the different cultures all over the world, plants have been extensively used as a source of therapeutic agents with wide-ranging medicinal applications, thus becoming part of a rational clinical and pharmacological investigation over the years. As bioactive molecules, plant-derived polyphenols have been demonstrated to exert many effects on human health by acting on different biological systems, thus their therapeutic potential would represent a novel approach on which natural product-based drug discovery and development could be based in the future. Many reports have provided evidence for the benefits derived from the dietary supplementation of polyphenols in the prevention and treatment of osteoporosis. Polyphenols are able to protect the bone, thanks to their antioxidant properties, as well as their anti-inflammatory actions by involving diverse signaling pathways, thus leading to bone anabolic effects and decreased bone resorption. This review is meant to summarize the research works performed so far, by elucidating the molecular mechanisms of action of polyphenols in a bone regeneration context, aiming at a better understanding of a possible application in the development of medical devices for bone tissue regeneration.

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The data shown below were collected from the profile of 1 X user 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 16 13%
Student > Ph. D. Student 13 10%
Student > Master 12 9%
Lecturer 10 8%
Researcher 10 8%
Other 20 16%
Unknown 47 37%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 20 16%
Medicine and Dentistry 16 13%
Agricultural and Biological Sciences 8 6%
Pharmacology, Toxicology and Pharmaceutical Science 6 5%
Nursing and Health Professions 4 3%
Other 19 15%
Unknown 55 43%
Attention Score in Context

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 08 December 2017.
All research outputs
#20,454,971
of 23,011,300 outputs
Outputs from Phytochemistry Reviews
#308
of 334 outputs
Outputs of similar age
#276,221
of 316,364 outputs
Outputs of similar age from Phytochemistry Reviews
#6
of 6 outputs
Altmetric has tracked 23,011,300 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 334 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 1st percentile – i.e., 1% 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 316,364 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one.