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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Overview of attention for book
Cover of 'Interactive Knowledge Discovery and Data Mining in Biomedical Informatics'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions
  3. Altmetric Badge
    Chapter 2 Visual Data Mining: Effective Exploration of the Biological Universe
  4. Altmetric Badge
    Chapter 3 Darwin or Lamarck? Future Challenges in Evolutionary Algorithms for Knowledge Discovery and Data Mining
  5. Altmetric Badge
    Chapter 4 On the Generation of Point Cloud Data Sets: Step One in the Knowledge Discovery Process
  6. Altmetric Badge
    Chapter 5 Adapted Features and Instance Selection for Improving Co-training
  7. Altmetric Badge
    Chapter 6 Knowledge Discovery and Visualization of Clusters for Erythromycin Related Adverse Events in the FDA Drug Adverse Event Reporting System
  8. Altmetric Badge
    Chapter 7 Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
  9. Altmetric Badge
    Chapter 8 A Policy-Based Cleansing and Integration Framework for Labour and Healthcare Data
  10. Altmetric Badge
    Chapter 9 Interactive Data Exploration Using Pattern Mining
  11. Altmetric Badge
    Chapter 10 Resources for Studying Statistical Analysis of Biomedical Data and R
  12. Altmetric Badge
    Chapter 11 A Kernel-Based Framework for Medical Big-Data Analytics
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    Chapter 12 On Entropy-Based Data Mining
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    Chapter 13 Sparse Inverse Covariance Estimation for Graph Representation of Feature Structure
  15. Altmetric Badge
    Chapter 14 Multi-touch Graph-Based Interaction for Knowledge Discovery on Mobile Devices: State-of-the-Art and Future Challenges
  16. Altmetric Badge
    Chapter 15 Intelligent Integrative Knowledge Bases: Bridging Genomics, Integrative Biology and Translational Medicine
  17. Altmetric Badge
    Chapter 16 Biomedical Text Mining: State-of-the-Art, Open Problems and Future Challenges
  18. Altmetric Badge
    Chapter 17 Protecting Anonymity in Data-Driven Biomedical Science
  19. Altmetric Badge
    Chapter 18 Biobanks – A Source of Large Biological Data Sets: Open Problems and Future Challenges
  20. Altmetric Badge
    Chapter 19 On Topological Data Mining
Attention for Chapter 1: Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (89th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

news
1 news outlet
twitter
1 X user
facebook
1 Facebook page
wikipedia
1 Wikipedia page

Citations

dimensions_citation
49 Dimensions

Readers on

mendeley
161 Mendeley
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Chapter title
Knowledge Discovery and Data Mining in Biomedical Informatics: The Future Is in Integrative, Interactive Machine Learning Solutions
Chapter number 1
Book title
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Published in
Lecture notes in computer science, February 2016
DOI 10.1007/978-3-662-43968-5_1
Book ISBNs
978-3-66-243967-8, 978-3-66-243968-5
Authors

Andreas Holzinger, Igor Jurisica, Holzinger, Andreas, Jurisica, Igor

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 161 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Malaysia 1 <1%
Switzerland 1 <1%
Austria 1 <1%
Korea, Republic of 1 <1%
Unknown 155 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 32 20%
Student > Ph. D. Student 30 19%
Student > Bachelor 16 10%
Researcher 14 9%
Lecturer 9 6%
Other 33 20%
Unknown 27 17%
Readers by discipline Count As %
Computer Science 71 44%
Engineering 25 16%
Medicine and Dentistry 8 5%
Nursing and Health Professions 4 2%
Mathematics 4 2%
Other 14 9%
Unknown 35 22%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 14. 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 25 September 2023.
All research outputs
#2,489,362
of 24,498,639 outputs
Outputs from Lecture notes in computer science
#467
of 8,158 outputs
Outputs of similar age
#44,492
of 410,025 outputs
Outputs of similar age from Lecture notes in computer science
#94
of 532 outputs
Altmetric has tracked 24,498,639 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,158 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done particularly well, scoring higher than 94% 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 410,025 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 89% of its contemporaries.
We're also able to compare this research output to 532 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.