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Interactive Knowledge Discovery and Data Mining in Biomedical Informatics

Overview of attention for book
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Springer, Berlin, Heidelberg

Table of Contents

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

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
67 Dimensions

Readers on

mendeley
173 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 number1
Book title
Interactive Knowledge Discovery and Data Mining in Biomedical Informatics
Published in
Lecture notes in computer science, February 2016
DOI10.1007/978-3-662-43968-5_1
Book ISBNs
978-3-66-243967-8, 978-3-66-243968-5
Authors

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

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profile of1 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 for173 Mendeley readers of this research output.Click here to see the associated Mendeley record.

Geographical breakdown

CountryCountAs %
United States21%
Switzerland1<1%
Malaysia1<1%
Korea, Republic of1<1%
Austria1<1%
Unknown16797%

Demographic breakdown

Readers by professional statusCountAs %
Student > Master3218%
Student > Ph. D. Student3017%
Student > Bachelor159%
Researcher148%
Student > Doctoral Student127%
Other3923%
Unknown3118%
Readers by disciplineCountAs %
Computer Science7242%
Engineering2414%
Medicine and Dentistry85%
Unspecified63%
Nursing and Health Professions42%
Other2012%
Unknown3923%
Attention Score in Context

Attention Score in Context

This research output has anAltmetric Attention Score of14. 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 on25 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'sin 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, scoringhigher 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, scoringhigher 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, scoringhigher than 82% of its contemporaries.

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