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A List of Successes That Can Change the World

Overview of attention for book
Cover of 'A List of Successes That Can Change the World'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 Reflections on Monadic Lenses
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    Chapter 2 Conflation Confers Concurrency
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    Chapter 3 Counting Successes: Effects and Transformations for Non-deterministic Programs
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    Chapter 4 The Essence of Inheritance
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    Chapter 5 A List of Successes That Can Change the World
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    Chapter 6 A List of Successes That Can Change the World
  8. Altmetric Badge
    Chapter 7 Comprehending Ringads
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    Chapter 8 Dragging Proofs Out of Pictures
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    Chapter 9 Experiences with QuickCheck: Testing the Hard Stuff and Staying Sane
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    Chapter 10 Cutting Out Continuations
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    Chapter 11 The Lambda Calculus: Practice and Principle
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    Chapter 12 I Got Plenty o’ Nuttin’
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    Chapter 13 Pointlessness is Better than Listlessness
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    Chapter 14 The Essence of Dependent Object Types
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    Chapter 15 Linear $$ \lambda \mu $$ is $$ \textsc {CP} $$ (more or less)
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    Chapter 16 A Reflection on Types
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    Chapter 17 The Essence of Multi-stage Evaluation in LMS
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    Chapter 18 1ML with Special Effects
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    Chapter 19 The Computer Scientist Nightmare
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    Chapter 20 A Branding Strategy for Business Types
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    Chapter 21 The Recursive Union of Some Gradual Types
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    Chapter 22 A Delta for Hybrid Type Checking
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    Chapter 23 Certifying Data in Multiparty Session Types
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    Chapter 24 Recursion Equations as a Programming Language
Overall attention for this book and its chapters
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

twitter
37 X users
wikipedia
1 Wikipedia page

Citations

dimensions_citation
4 Dimensions

Readers on

mendeley
16 Mendeley
citeulike
3 CiteULike
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.
Title
A List of Successes That Can Change the World
Published by
Lecture notes in computer science, January 2016
DOI 10.1007/978-3-319-30936-1
ISBNs
978-3-31-930935-4, 978-3-31-930936-1
Authors

Sam Lindley, Conor McBride, Phil Trinder, Don Sannella

Editors

Sam Lindley, Conor McBride, Phil Trinder, Don Sannella

X Demographics

X Demographics

The data shown below were collected from the profiles of 37 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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 6%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Unknown 12 75%
Readers by discipline Count As %
Computer Science 4 25%
Unknown 12 75%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 31. 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 10 March 2024.
All research outputs
#1,271,902
of 25,461,852 outputs
Outputs from Lecture notes in computer science
#162
of 8,163 outputs
Outputs of similar age
#21,581
of 400,252 outputs
Outputs of similar age from Lecture notes in computer science
#46
of 582 outputs
Altmetric has tracked 25,461,852 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,163 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. This one has done particularly well, scoring higher than 98% 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 400,252 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 582 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.