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Performance Evaluation: Origins and Directions

Overview of attention for book
Cover of 'Performance Evaluation: Origins and Directions'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Performance Evaluation in Industry: A Personal Perspective
  3. Altmetric Badge
    Chapter 2 Mainframe Systems
  4. Altmetric Badge
    Chapter 3 Performance Analysis of Storage Systems
  5. Altmetric Badge
    Chapter 4 Performance Evaluation: Origins and Directions
  6. Altmetric Badge
    Chapter 5 Trace-Driven Memory Simulation: A Survey
  7. Altmetric Badge
    Chapter 6 Performance Issues in Parallel Processing Systems
  8. Altmetric Badge
    Chapter 7 Measurement-Based Analysis of Networked System Availability
  9. Altmetric Badge
    Chapter 8 Performance of Client/Server Systems
  10. Altmetric Badge
    Chapter 9 Performance Characteristics of the World Wide Web
  11. Altmetric Badge
    Chapter 10 Parallel Job Scheduling: A Performance Perspective
  12. Altmetric Badge
    Chapter 11 Scheduling of Real-Time Tasks with Complex Constraints
  13. Altmetric Badge
    Chapter 12 Software Performance Evaluation by Models
  14. Altmetric Badge
    Chapter 13 Performance Analysis of Database Systems
  15. Altmetric Badge
    Chapter 14 Performance Analysis of Concurrency Control Methods
  16. Altmetric Badge
    Chapter 15 Numerical Analysis Methods
  17. Altmetric Badge
    Chapter 16 Product Form Queueing Networks
  18. Altmetric Badge
    Chapter 17 Stochastic Modeling Formalisms for Dependability, Performance and Performability
  19. Altmetric Badge
    Chapter 18 Analysis and Application of Polling Models
  20. Altmetric Badge
    Chapter 19 Discrete-Event Simulation in Performance Evaluation
  21. Altmetric Badge
    Chapter 20 Workload Characterization Issues and Methodologies
  22. Altmetric Badge
    Chapter 21 From the Central Server Model to BEST/1©
  23. Altmetric Badge
    Chapter 22 Mean Value Analysis: A Personal Account
  24. Altmetric Badge
    Chapter 23 The Early Days of GSPNs
  25. Altmetric Badge
    Chapter 24 The Discovery of Self-Similar Traffic
Attention for Chapter 22: Mean Value Analysis: A Personal Account
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About this Attention Score

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Chapter title
Mean Value Analysis: A Personal Account
Chapter number 22
Book title
Performance Evaluation: Origins and Directions
Published in
Lecture notes in computer science, February 2016
DOI 10.1007/3-540-46506-5_22
Book ISBNs
978-3-54-067193-0, 978-3-54-046506-5
Authors

M. Reiser

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 29 February 2012.
All research outputs
#7,454,427
of 22,789,566 outputs
Outputs from Lecture notes in computer science
#2,486
of 8,126 outputs
Outputs of similar age
#125,756
of 396,814 outputs
Outputs of similar age from Lecture notes in computer science
#240
of 523 outputs
Altmetric has tracked 22,789,566 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 8,126 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 55% 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 396,814 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 56% of its contemporaries.
We're also able to compare this research output to 523 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.