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Machine learning-aided risk stratification in Philadelphia chromosome-positive acute lymphoblastic leukemia

Overview of attention for article published in Biomarker Research, February 2021
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Mentioned by

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3 X users

Citations

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2 Dimensions

Readers on

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13 Mendeley
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Title
Machine learning-aided risk stratification in Philadelphia chromosome-positive acute lymphoblastic leukemia
Published in
Biomarker Research, February 2021
DOI 10.1186/s40364-021-00268-x
Pubmed ID
Authors

Satoshi Nishiwaki, Isamu Sugiura, Daisuke Koyama, Yukiyasu Ozawa, Masahide Osaki, Yuichi Ishikawa, Hitoshi Kiyoi

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 15%
Lecturer 1 8%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Student > Ph. D. Student 1 8%
Other 1 8%
Unknown 6 46%
Readers by discipline Count As %
Engineering 3 23%
Business, Management and Accounting 1 8%
Biochemistry, Genetics and Molecular Biology 1 8%
Medicine and Dentistry 1 8%
Computer Science 1 8%
Other 0 0%
Unknown 6 46%
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 19 February 2021.
All research outputs
#18,733,166
of 23,885,338 outputs
Outputs from Biomarker Research
#231
of 350 outputs
Outputs of similar age
#304,346
of 423,517 outputs
Outputs of similar age from Biomarker Research
#13
of 16 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 350 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 30th percentile – i.e., 30% 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 423,517 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.