Deep biomarkers of human aging: Application of deep neural networks to biomarker development

Overview of attention for article published in Aging, May 2016

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In the top 5% of all research outputs scored by Altmetric
One of the highest-scoring outputs from this source (#2 of 3,571)
High Attention Score compared to outputs of the same age (99th percentile)
High Attention Score compared to outputs of the same age and source (97th percentile)

Mentioned by

news: 90 news outlets
blogs: 8 blogs
twitter: 49 tweeters
patent: 5 patents
facebook: 16 Facebook pages

wikipedia: 3 Wikipedia pages
googleplus: 10 Google+ users
reddit: 2 Redditors
f1000: 1 research highlight platform
video: 1 video uploader

Citations

dimensions_citation: 221 Dimensions

Readers on

mendeley: 352 Mendeley
citeulike: 1 CiteULike

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So far, Dimensions has found 221 publications that cite this research output.

221

The most recent citing publications are shown below. View all 221 publications that cite this research output on Dimensions.

An evaluation of aging measures: from biomarkers to clocks

Article in Biogerontology (November 2022)

National scale classification of landslide types by a data–driven approach and artificial neural networks

Conference proceeding in Proceedings of SPIE (November 2022)

Unsupervised learning of aging principles from longitudinal data

Article in Nature Communications (November 2022)