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MicroRNA Profiling in Cartilage Ageing

Overview of attention for article published in International Journal of Genomics, January 2017
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About this Attention Score

  • Among the highest-scoring outputs from this source (#27 of 183)
  • Above-average Attention Score compared to outputs of the same age (55th percentile)

Mentioned by

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2 tweeters

Citations

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14 Dimensions

Readers on

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15 Mendeley
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Title
MicroRNA Profiling in Cartilage Ageing
Published in
International Journal of Genomics, January 2017
DOI 10.1155/2017/2713725
Pubmed ID
Authors

Panagiotis Balaskas, Katarzyna Goljanek-Whysall, Peter Clegg, Yongxiang Fang, Andy Cremers, Pieter Emans, Tim Welting, Mandy Peffers

Abstract

Osteoarthritis (OA) is the most common age-related joint disorder in man. MicroRNAs (miRNA), a class of small noncoding RNAs, are potential therapeutic targets for regulating molecular mechanisms in both disease and ageing. Whilst there is an increasing amount of research on the roles of miRNAs in ageing, there has been scant research on age-related changes in miRNA in a cartilage. We undertook a microarray study on young and old human cartilages. Findings were validated in an independent cohort. Contrasts between these samples identified twenty differentially expressed miRNAs in a cartilage from old donors, derived from an OA environment which clustered based on OA severity. We identified a number of recognised and novel miRNAs changing in cartilage ageing and OA including miR-126: a potential new candidate with a role in OA pathogenesis. These analyses represent important candidates that have the potential as cartilage ageing and OA biomarkers and therapeutic targets.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 15 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 3 20%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Lecturer > Senior Lecturer 1 7%
Lecturer 1 7%
Other 1 7%
Unknown 5 33%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 40%
Veterinary Science and Veterinary Medicine 2 13%
Medicine and Dentistry 2 13%
Engineering 1 7%
Unknown 4 27%

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 03 October 2017.
All research outputs
#6,376,136
of 11,862,957 outputs
Outputs from International Journal of Genomics
#27
of 183 outputs
Outputs of similar age
#112,884
of 266,152 outputs
Outputs of similar age from International Journal of Genomics
#2
of 4 outputs
Altmetric has tracked 11,862,957 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 183 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 82% 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 266,152 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 55% 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 2 of them.