↓ Skip to main content

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

Overview of attention for article published in Biomarker Research, February 2021
Altmetric Badge

Mentioned by

twitter
3 tweeters

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
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

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 17%
Student > Bachelor 1 17%
Researcher 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Other 0 0%
Unknown 1 17%
Readers by discipline Count As %
Engineering 3 50%
Computer Science 1 17%
Unknown 2 33%

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
#14,402,424
of 18,687,462 outputs
Outputs from Biomarker Research
#109
of 205 outputs
Outputs of similar age
#214,000
of 306,250 outputs
Outputs of similar age from Biomarker Research
#1
of 1 outputs
Altmetric has tracked 18,687,462 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 205 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 39th percentile – i.e., 39% 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 306,250 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
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