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Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models

Overview of attention for article published in PLOS ONE, April 2019
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (60th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (54th percentile)

Mentioned by

patent
1 patent
facebook
1 Facebook page

Citations

dimensions_citation
94 Dimensions

Readers on

mendeley
91 Mendeley
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Title
Viable and necrotic tumor assessment from whole slide images of osteosarcoma using machine-learning and deep-learning models
Published in
PLOS ONE, April 2019
DOI 10.1371/journal.pone.0210706
Pubmed ID
Authors

Harish Babu Arunachalam, Rashika Mishra, Ovidiu Daescu, Kevin Cederberg, Dinesh Rakheja, Anita Sengupta, David Leonard, Rami Hallac, Patrick Leavey

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 91 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 91 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 15%
Researcher 12 13%
Student > Master 11 12%
Student > Bachelor 9 10%
Student > Doctoral Student 5 5%
Other 13 14%
Unknown 27 30%
Readers by discipline Count As %
Medicine and Dentistry 19 21%
Computer Science 14 15%
Engineering 7 8%
Biochemistry, Genetics and Molecular Biology 7 8%
Agricultural and Biological Sciences 4 4%
Other 7 8%
Unknown 33 36%
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 19 November 2020.
All research outputs
#7,342,527
of 23,144,579 outputs
Outputs from PLOS ONE
#88,398
of 197,638 outputs
Outputs of similar age
#135,104
of 350,032 outputs
Outputs of similar age from PLOS ONE
#1,258
of 2,828 outputs
Altmetric has tracked 23,144,579 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 197,638 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 54% 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 350,032 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 60% of its contemporaries.
We're also able to compare this research output to 2,828 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 54% of its contemporaries.