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Biology of RANK, RANKL, and osteoprotegerin

Overview of attention for article published in Arthritis Research & Therapy, January 2007
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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 (88th percentile)

Mentioned by

blogs
1 blog
wikipedia
10 Wikipedia pages

Citations

dimensions_citation
610 Dimensions

Readers on

mendeley
726 Mendeley
citeulike
1 CiteULike
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Title
Biology of RANK, RANKL, and osteoprotegerin
Published in
Arthritis Research & Therapy, January 2007
DOI 10.1186/ar2165
Pubmed ID
Authors

Brendan F Boyce, Lianping Xing

Abstract

The discovery of the receptor activator of nuclear factor-kappaB ligand (RANKL)/RANK/osteoprotegerin (OPG) system and its role in the regulation of bone resorption exemplifies how both serendipity and a logic-based approach can identify factors that regulate cell function. Before this discovery in the mid to late 1990s, it had long been recognized that osteoclast formation was regulated by factors expressed by osteoblast/stromal cells, but it had not been anticipated that members of the tumor necrosis factor superfamily of ligands and receptors would be involved or that the factors involved would have extensive functions beyond bone remodeling. RANKL/RANK signaling regulates the formation of multinucleated osteoclasts from their precursors as well as their activation and survival in normal bone remodeling and in a variety of pathologic conditions. OPG protects the skeleton from excessive bone resorption by binding to RANKL and preventing it from binding to its receptor, RANK. Thus, RANKL/OPG ratio is an important determinant of bone mass and skeletal integrity. Genetic studies in mice indicate that RANKL/RANK signaling is also required for lymph node formation and mammary gland lactational hyperplasia, and that OPG also protects arteries from medial calcification. Thus, these tumor necrosis factor superfamily members have important functions outside bone. Although our understanding of the mechanisms whereby they regulate osteoclast formation has advanced rapidly during the past 10 years, many questions remain about their roles in health and disease. Here we review our current understanding of the role of the RANKL/RANK/OPG system in bone and other tissues.

Mendeley readers

The data shown below were compiled from readership statistics for 726 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 4 <1%
Spain 2 <1%
United States 2 <1%
Brazil 2 <1%
India 2 <1%
Bulgaria 1 <1%
Canada 1 <1%
Italy 1 <1%
Korea, Republic of 1 <1%
Other 3 <1%
Unknown 707 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 140 19%
Student > Bachelor 98 13%
Student > Master 88 12%
Researcher 71 10%
Student > Doctoral Student 52 7%
Other 145 20%
Unknown 132 18%
Readers by discipline Count As %
Medicine and Dentistry 211 29%
Agricultural and Biological Sciences 148 20%
Biochemistry, Genetics and Molecular Biology 99 14%
Pharmacology, Toxicology and Pharmaceutical Science 24 3%
Engineering 20 3%
Other 74 10%
Unknown 150 21%

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 17 March 2020.
All research outputs
#1,810,764
of 17,351,915 outputs
Outputs from Arthritis Research & Therapy
#398
of 2,585 outputs
Outputs of similar age
#22,351
of 196,343 outputs
Outputs of similar age from Arthritis Research & Therapy
#1
of 4 outputs
Altmetric has tracked 17,351,915 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,585 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. This one has done well, scoring higher than 84% 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 196,343 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 4 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