↓ Skip to main content

Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases

Overview of attention for article published in Scientific Reports, October 2015
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

news
1 news outlet
blogs
4 blogs
twitter
8 X users
patent
8 patents
facebook
2 Facebook pages
googleplus
3 Google+ users
video
2 YouTube creators

Readers on

mendeley
306 Mendeley
citeulike
1 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Article details
Title
Synchronized age-related gene expression changes across multiple tissues in human and the link to complex diseases
Published in
Scientific Reports, October 2015
DOI 10.1038/srep15145
Pubmed ID
Authors
Abstract

Aging is one of the most important biological processes and is a known risk factor for many age-related diseases in human. Studying age-related transcriptomic changes in tissues across the whole body can provide valuable information for a holistic understanding of this fundamental process. In this work, we catalogue age-related gene expression changes in nine tissues from nearly two hundred individuals collected by the Genotype-Tissue Expression (GTEx) project. In general, we find the aging gene expression signatures are very tissue specific. However, enrichment for some well-known aging components such as mitochondria biology is observed in many tissues. Different levels of cross-tissue synchronization of age-related gene expression changes are observed, and some essential tissues (e.g., heart and lung) show much stronger "co-aging" than other tissues based on a principal component analysis. The aging gene signatures and complex disease genes show a complex overlapping pattern and only in some cases, we see that they are significantly overlapped in the tissues affected by the corresponding diseases. In summary, our analyses provide novel insights to the co-regulation of age-related gene expression in multiple tissues; it also presents a tissue-specific view of the link between aging and age-related diseases.

Login to access the Attention Digest and the Sentiment Analysis related to this output.

Timeline Attention over time Attention Score history
Login to access the full charts related to this output.
Activity
Login to access the full charts related to this output.
X Demographics

X Demographics

The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 306 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Login to view Mendeley reader trends over time.

Geographical breakdown

Geographical breakdown
Country Count As %
United States 8 3%
Iran, Islamic Republic of 1 <1%
Hungary 1 <1%
Denmark 1 <1%
Unknown 295 96%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 79 26%
Student > Ph. D. Student 57 19%
Student > Master 30 10%
Student > Bachelor 28 9%
Student > Doctoral Student 12 4%
Other 40 13%
Unknown 60 20%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 85 28%
Biochemistry, Genetics and Molecular Biology 80 26%
Medicine and Dentistry 17 6%
Neuroscience 14 5%
Computer Science 13 4%
Other 34 11%
Unknown 63 21%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 49. 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 23 April 2026.
All research outputs
#1,047,436
of 32,799,743 outputs
Outputs from Scientific Reports
#10,968
of 177,737 outputs
Outputs of similar age
#12,099
of 314,104 outputs
Outputs of similar age from Scientific Reports
#205
of 2,817 outputs
Altmetric has tracked 32,799,743 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 177,737 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one has done particularly well, scoring higher than 93% 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 314,104 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 2,817 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 92% of its contemporaries.