↓ Skip to main content

Massive datasets and machine learning for computational biomedicine: trends and challenges

Overview of attention for article published in Annals of Operations Research, May 2018
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#33 of 830)
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
1 news outlet
patent
1 patent

Citations

dimensions_citation
27 Dimensions

Readers on

mendeley
63 Mendeley
citeulike
1 CiteULike
Title
Massive datasets and machine learning for computational biomedicine: trends and challenges
Published in
Annals of Operations Research, May 2018
DOI 10.1007/s10479-018-2891-2
Authors

Anton Kocheturov, Panos M. Pardalos, Athanasia Karakitsiou

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 10 16%
Student > Ph. D. Student 8 13%
Student > Bachelor 7 11%
Researcher 5 8%
Student > Doctoral Student 4 6%
Other 10 16%
Unknown 19 30%
Readers by discipline Count As %
Computer Science 14 22%
Business, Management and Accounting 6 10%
Medicine and Dentistry 5 8%
Engineering 4 6%
Agricultural and Biological Sciences 3 5%
Other 10 16%
Unknown 21 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 December 2023.
All research outputs
#3,348,837
of 25,059,640 outputs
Outputs from Annals of Operations Research
#33
of 830 outputs
Outputs of similar age
#64,608
of 333,283 outputs
Outputs of similar age from Annals of Operations Research
#1
of 14 outputs
Altmetric has tracked 25,059,640 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 830 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done particularly well, scoring higher than 95% 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 333,283 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.