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Statistical learning and big data applications

Overview of attention for article published in Journal of Laboratory Medicine, June 2023
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)

Mentioned by

twitter
4 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
51 Mendeley
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Title
Statistical learning and big data applications
Published in
Journal of Laboratory Medicine, June 2023
DOI 10.1515/labmed-2023-0037
Authors

Harald Witte, Tobias U. Blatter, Priyanka Nagabhushana, David Schär, James Ackermann, Janne Cadamuro, Alexander B. Leichtle

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Lecturer 6 12%
Unspecified 3 6%
Student > Ph. D. Student 3 6%
Other 2 4%
Professor > Associate Professor 2 4%
Other 3 6%
Unknown 32 63%
Readers by discipline Count As %
Business, Management and Accounting 5 10%
Unspecified 3 6%
Computer Science 3 6%
Social Sciences 2 4%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Other 4 8%
Unknown 33 65%
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 12 June 2023.
All research outputs
#7,768,153
of 25,223,158 outputs
Outputs from Journal of Laboratory Medicine
#11
of 38 outputs
Outputs of similar age
#123,749
of 374,602 outputs
Outputs of similar age from Journal of Laboratory Medicine
#1
of 1 outputs
Altmetric has tracked 25,223,158 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 38 research outputs from this source. They receive a mean Attention Score of 2.8. This one scored the same or higher as 27 of them.
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 374,602 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 66% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them