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Precision Health and Medicine

Overview of attention for book
Cover of 'Precision Health and Medicine'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 From Precision Medicine to Precision Health: A Full Angle from Diagnosis to Treatment and Prevention
  3. Altmetric Badge
    Chapter 2 Constructing Accurate Confidence Intervals When Aggregating Social Media Data for Public Health Monitoring
  4. Altmetric Badge
    Chapter 3 MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry
  5. Altmetric Badge
    Chapter 4 Automatic Exercise Recognition with Machine Learning
  6. Altmetric Badge
    Chapter 5 Assessment of Word Embedding Techniques for Identification of Personal Experience Tweets Pertaining to Medication Uses
  7. Altmetric Badge
    Chapter 6 Using Machine Learning for Automatic Estimation of M. Smegmatis Cell Count from Fluorescence Microscopy Images
  8. Altmetric Badge
    Chapter 7 Dynamic Transfer Learning for Named Entity Recognition
  9. Altmetric Badge
    Chapter 8 Autism Spectrum Disorder’s Severity Prediction Model Using Utterance Features for Automatic Diagnosis Support
  10. Altmetric Badge
    Chapter 9 Explaining Multi-label Black-Box Classifiers for Health Applications
  11. Altmetric Badge
    Chapter 10 Large-Scale Dialog Corpus Towards Automatic Mental Disease Diagnosis
  12. Altmetric Badge
    Chapter 11 Spoken Dialogue Systems for Medication Management
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    Chapter 12 Deep Visual Models for EEG of Mindfulness Meditation in a Workplace Setting
  14. Altmetric Badge
    Chapter 13 End-to-End Joint Entity Extraction and Negation Detection for Clinical Text
  15. Altmetric Badge
    Chapter 14 Highly Efficient Follicular Segmentation in Thyroid Cytopathological Whole Slide Image
  16. Altmetric Badge
    Chapter 15 Analysis of Team Medical Care Using Integrated Information from the Trajectories of and Conversations Among Medical Personnel
  17. Altmetric Badge
    Chapter 16 Guiding Public Health Policy by Using Grocery Transaction Data to Predict Demand for Unhealthy Beverages
  18. Altmetric Badge
    Chapter 17 Domain Adaptation for Human Fall Detection Using WiFi Channel State Information
  19. Altmetric Badge
    Chapter 18 Evaluating Ensemble Learning Impact on Gene Selection for Automated Cancer Diagnosis
  20. Altmetric Badge
    Chapter 19 EpiRL: A Reinforcement Learning Agent to Facilitate Epistasis Detection
  21. Altmetric Badge
    Chapter 20 Practical Evaluation of Different Omics Data Integration Methods
Attention for Chapter 3: MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
7 X users

Citations

dimensions_citation
14 Dimensions

Readers on

mendeley
14 Mendeley
Summary X Dimensions citations
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Chapter title
MCA-Based Rule Mining Enables Interpretable Inference in Clinical Psychiatry
Chapter number 3
Book title
Precision Health and Medicine
Published in
arXiv, January 2019
DOI 10.1007/978-3-030-24409-5_3
Book ISBNs
978-3-03-024408-8, 978-3-03-024409-5
Authors

Qingzhu Gao, Humberto Gonzalez, Parvez Ahammad, Gao, Qingzhu, Gonzalez, Humberto, Ahammad, Parvez

View on publisher site
X Demographics

X Demographics

The data shown below were collected from the profiles of 7 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 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 21%
Professor > Associate Professor 2 14%
Student > Master 2 14%
Student > Ph. D. Student 1 7%
Other 1 7%
Other 1 7%
Unknown 4 29%
Readers by discipline Count As %
Computer Science 5 36%
Agricultural and Biological Sciences 2 14%
Psychology 2 14%
Medicine and Dentistry 1 7%
Unknown 4 29%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 2018.
All research outputs
#15,626,803
of 25,216,325 outputs
Outputs from arXiv
#265,442
of 1,027,534 outputs
Outputs of similar age
#244,395
of 450,228 outputs
Outputs of similar age from arXiv
#6,416
of 22,382 outputs
Altmetric has tracked 25,216,325 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,027,534 research outputs from this source. They receive a mean Attention Score of 4.1. This one has gotten more attention than average, scoring higher than 71% 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 450,228 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 22,382 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 68% of its contemporaries.

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