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Data Integration Challenges for Machine Learning in Precision Medicine

Overview of attention for article published in Frontiers in Medicine, January 2022
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (65th percentile)
  • Good Attention Score compared to outputs of the same age and source (70th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
111 Mendeley
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Title
Data Integration Challenges for Machine Learning in Precision Medicine
Published in
Frontiers in Medicine, January 2022
DOI 10.3389/fmed.2021.784455
Pubmed ID
Authors

Mireya Martínez-García, Enrique Hernández-Lemus

X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 111 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 10%
Researcher 8 7%
Student > Ph. D. Student 8 7%
Unspecified 6 5%
Lecturer 6 5%
Other 20 18%
Unknown 52 47%
Readers by discipline Count As %
Computer Science 17 15%
Biochemistry, Genetics and Molecular Biology 8 7%
Medicine and Dentistry 7 6%
Unspecified 7 6%
Agricultural and Biological Sciences 2 2%
Other 13 12%
Unknown 57 51%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 24 May 2022.
All research outputs
#7,924,783
of 24,541,341 outputs
Outputs from Frontiers in Medicine
#2,009
of 6,701 outputs
Outputs of similar age
#172,478
of 510,787 outputs
Outputs of similar age from Frontiers in Medicine
#183
of 631 outputs
Altmetric has tracked 24,541,341 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 6,701 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one has gotten more attention than average, scoring higher than 69% 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 510,787 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 65% of its contemporaries.
We're also able to compare this research output to 631 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 70% of its contemporaries.