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Elucidating the Molecular Composition of Cartilage by Proteomics

Overview of attention for article published in Journal of Proteome Research, January 2016
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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 (86th percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

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1 blog
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1 Facebook page
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Citations

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58 Dimensions

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82 Mendeley
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Title
Elucidating the Molecular Composition of Cartilage by Proteomics
Published in
Journal of Proteome Research, January 2016
DOI 10.1021/acs.jproteome.5b00946
Pubmed ID
Authors

Ming-Feng Hsueh, Areej Khabut, Sven Kjellström, Patrik Önnerfjord, Virginia Byers Kraus

Abstract

Articular cartilage consists of chondrocytes and two major components, a collagen-rich framework and highly abundant proteoglycans. Most prior studies defining the zonal distribution of cartilage have extracted proteins with guanidine-HCl. However, an unextracted collagen-rich residual is left after extraction. In addition, the high abundance of anionic polysaccharide molecules extracted from cartilage adversely affects the chromatographic separation. In this study, we established a method for removing chondrocytes from cartilage sections with minimal extracellular matrix protein loss. The addition of surfactant to guanidine-HCl extraction buffer improved protein solubility. Ultrafiltration removed interference from polysaccharides and salts. Almost four times more collagen peptides were extracted by the in situ trypsin digestion method. However, as expected, proteoglycans were more abundant within the guanidine-HCl extraction. These different methods were used to extract cartilage sections from different cartilage layers (superficial, intermediate and deep), joint types (knee and hip), and disease states (healthy and osteoarthritic) and the extractions were evaluated by quantitative and qualitative proteomic analyses. The results of this study led to the identifications of the potential biomarkers of OA, OA progression, and the joint specific biomarkers.

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 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 82 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 1%
France 1 1%
Unknown 80 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 26%
Researcher 13 16%
Student > Master 10 12%
Student > Bachelor 8 10%
Student > Doctoral Student 5 6%
Other 10 12%
Unknown 15 18%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 15 18%
Agricultural and Biological Sciences 14 17%
Engineering 11 13%
Medicine and Dentistry 10 12%
Chemistry 4 5%
Other 8 10%
Unknown 20 24%
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 10 December 2016.
All research outputs
#2,871,982
of 22,840,638 outputs
Outputs from Journal of Proteome Research
#734
of 6,026 outputs
Outputs of similar age
#52,225
of 395,862 outputs
Outputs of similar age from Journal of Proteome Research
#18
of 96 outputs
Altmetric has tracked 22,840,638 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 6,026 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 well, scoring higher than 87% 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 395,862 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 86% 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 well, scoring higher than 81% of its contemporaries.