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ClusterTAD: an unsupervised machine learning approach to detecting topologically associated domains of chromosomes from Hi-C data

Overview of attention for article published in BMC Bioinformatics, November 2017
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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 (80th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

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19 X users

Citations

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40 Dimensions

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82 Mendeley
Summary X Dimensions citations
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