↓ Skip to main content

Discovery Science

Overview of attention for book
Cover of 'Discovery Science'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Explaining Mixture Models through Semantic Pattern Mining and Banded Matrix Visualization
  3. Altmetric Badge
    Chapter 2 Big Data Analysis of StockTwits to Predict Sentiments in the Stock Market
  4. Altmetric Badge
    Chapter 3 Synthetic Sequence Generator for Recommender Systems – Memory Biased Random Walk on a Sequence Multilayer Network
  5. Altmetric Badge
    Chapter 4 Predicting Sepsis Severity from Limited Temporal Observations
  6. Altmetric Badge
    Chapter 5 Completion Time and Next Activity Prediction of Processes Using Sequential Pattern Mining
  7. Altmetric Badge
    Chapter 6 Antipattern Discovery in Ethiopian Bagana Songs
  8. Altmetric Badge
    Chapter 7 Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project
  9. Altmetric Badge
    Chapter 8 Multilayer Clustering: A Discovery Experiment on Country Level Trading Data
  10. Altmetric Badge
    Chapter 9 Medical Document Mining Combining Image Exploration and Text Characterization
  11. Altmetric Badge
    Chapter 10 Mining Cohesive Itemsets in Graphs
  12. Altmetric Badge
    Chapter 11 Mining Rank Data
  13. Altmetric Badge
    Chapter 12 Link Prediction on the Semantic MEDLINE Network
  14. Altmetric Badge
    Chapter 13 Medical Image Retrieval Using Multimodal Data
  15. Altmetric Badge
    Chapter 14 Fast Computation of the Tree Edit Distance between Unordered Trees Using IP Solvers
  16. Altmetric Badge
    Chapter 15 Probabilistic Active Learning: Towards Combining Versatility, Optimality and Efficiency
  17. Altmetric Badge
    Chapter 16 Incremental Learning with Social Media Data to Predict Near Real-Time Events
  18. Altmetric Badge
    Chapter 17 Stacking Label Features for Learning Multilabel Rules
  19. Altmetric Badge
    Chapter 18 Selective Forgetting for Incremental Matrix Factorization in Recommender Systems
  20. Altmetric Badge
    Chapter 19 Providing Concise Database Covers Instantly by Recursive Tile Sampling
  21. Altmetric Badge
    Chapter 20 Resampling-Based Framework for Estimating Node Centrality of Large Social Network
  22. Altmetric Badge
    Chapter 21 Detecting Maximum k-Plex with Iterative Proper ℓ-Plex Search
  23. Altmetric Badge
    Chapter 22 Exploiting Bhattacharyya Similarity Measure to Diminish User Cold-Start Problem in Sparse Data
  24. Altmetric Badge
    Chapter 23 Failure Prediction – An Application in the Railway Industry
  25. Altmetric Badge
    Chapter 24 Wind Power Forecasting Using Time Series Cluster Analysis
  26. Altmetric Badge
    Chapter 25 Feature Selection in Hierarchical Feature Spaces
  27. Altmetric Badge
    Chapter 26 Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology
  28. Altmetric Badge
    Chapter 27 An Efficient Algorithm for Enumerating Chordless Cycles and Chordless Paths
  29. Altmetric Badge
    Chapter 28 Algorithm Selection on Data Streams
  30. Altmetric Badge
    Chapter 29 Sparse Coding for Key Node Selection over Networks
  31. Altmetric Badge
    Chapter 30 Variational Dependent Multi-output Gaussian Process Dynamical Systems
  32. Altmetric Badge
    Chapter 31 Erratum: Categorize, Cluster, and Classify: A 3-C Strategy for Scientific Discovery in the Medical Informatics Platform of the Human Brain Project
Attention for Chapter 26: Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (55th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (52nd percentile)

Mentioned by

twitter
5 X users

Citations

dimensions_citation
2 Dimensions

Readers on

mendeley
7 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.
Chapter title
Incorporating Regime Metrics into Latent Variable Dynamic Models to Detect Early-Warning Signals of Functional Changes in Fisheries Ecology
Chapter number 26
Book title
Discovery Science
Published in
Lecture notes in computer science, October 2014
DOI 10.1007/978-3-319-11812-3_26
Book ISBNs
978-3-31-911811-6, 978-3-31-911812-3
Authors

Neda Trifonova, Daniel Duplisea, Andrew Kenny, David Maxwell, Allan Tucker

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users 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 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 57%
Student > Postgraduate 1 14%
Other 1 14%
Student > Doctoral Student 1 14%
Readers by discipline Count As %
Environmental Science 3 43%
Earth and Planetary Sciences 2 29%
Agricultural and Biological Sciences 1 14%
Biochemistry, Genetics and Molecular Biology 1 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 09 February 2015.
All research outputs
#12,621,177
of 22,786,087 outputs
Outputs from Lecture notes in computer science
#3,663
of 8,124 outputs
Outputs of similar age
#111,997
of 255,135 outputs
Outputs of similar age from Lecture notes in computer science
#127
of 270 outputs
Altmetric has tracked 22,786,087 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,124 research outputs from this source. They receive a mean Attention Score of 5.0. 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 255,135 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 55% of its contemporaries.
We're also able to compare this research output to 270 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 52% of its contemporaries.