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More Is Better: Recent Progress in Multi-Omics Data Integration Methods

Overview of attention for article published in Frontiers in Genetics, June 2017
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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 (97th percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

news
4 news outlets
blogs
2 blogs
twitter
81 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

dimensions_citation
525 Dimensions

Readers on

mendeley
1048 Mendeley
citeulike
3 CiteULike
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Title
More Is Better: Recent Progress in Multi-Omics Data Integration Methods
Published in
Frontiers in Genetics, June 2017
DOI 10.3389/fgene.2017.00084
Pubmed ID
Authors

Sijia Huang, Kumardeep Chaudhary, Lana X. Garmire

Abstract

Multi-omics data integration is one of the major challenges in the era of precision medicine. Considerable work has been done with the advent of high-throughput studies, which have enabled the data access for downstream analyses. To improve the clinical outcome prediction, a gamut of software tools has been developed. This review outlines the progress done in the field of multi-omics integration and comprehensive tools developed so far in this field. Further, we discuss the integration methods to predict patient survival at the end of the review.

X Demographics

X Demographics

The data shown below were collected from the profiles of 81 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 1,048 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Norway 1 <1%
Brazil 1 <1%
Unknown 1045 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 242 23%
Researcher 213 20%
Student > Master 107 10%
Student > Bachelor 66 6%
Student > Doctoral Student 48 5%
Other 145 14%
Unknown 227 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 260 25%
Agricultural and Biological Sciences 177 17%
Computer Science 119 11%
Medicine and Dentistry 42 4%
Engineering 37 4%
Other 136 13%
Unknown 277 26%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 95. 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 20 June 2023.
All research outputs
#455,473
of 25,736,439 outputs
Outputs from Frontiers in Genetics
#64
of 13,784 outputs
Outputs of similar age
#9,151
of 318,228 outputs
Outputs of similar age from Frontiers in Genetics
#2
of 50 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,784 research outputs from this source. They receive a mean Attention Score of 3.8. This one has done particularly well, scoring higher than 99% 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 318,228 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 97% of its contemporaries.
We're also able to compare this research output to 50 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 96% of its contemporaries.