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Machine Learning Classification of Inflammatory Bowel Disease in Children Based on a Large Real-World Pediatric Cohort CEDATA-GPGE® Registry

Overview of attention for article published in Frontiers in Medicine, May 2021
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Mentioned by

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1 X user

Citations

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6 Dimensions

Readers on

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25 Mendeley
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Title
Machine Learning Classification of Inflammatory Bowel Disease in Children Based on a Large Real-World Pediatric Cohort CEDATA-GPGE® Registry
Published in
Frontiers in Medicine, May 2021
DOI 10.3389/fmed.2021.666190
Pubmed ID
Authors

Nicolas Schneider, Keywan Sohrabi, Henning Schneider, Klaus-Peter Zimmer, Patrick Fischer, Jan de Laffolie, CEDATA-GPGE Study Group

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 8%
Student > Ph. D. Student 2 8%
Student > Master 2 8%
Lecturer > Senior Lecturer 1 4%
Student > Doctoral Student 1 4%
Other 3 12%
Unknown 14 56%
Readers by discipline Count As %
Computer Science 3 12%
Medicine and Dentistry 3 12%
Agricultural and Biological Sciences 1 4%
Biochemistry, Genetics and Molecular Biology 1 4%
Business, Management and Accounting 1 4%
Other 1 4%
Unknown 15 60%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 May 2021.
All research outputs
#21,392,871
of 23,885,338 outputs
Outputs from Frontiers in Medicine
#5,540
of 6,300 outputs
Outputs of similar age
#371,730
of 434,972 outputs
Outputs of similar age from Frontiers in Medicine
#355
of 417 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,300 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 434,972 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 417 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.