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Mathematical Knowledge Management

Overview of attention for book
Cover of 'Mathematical Knowledge Management'

Table of Contents

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    Book Overview
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    Chapter 1 Digitisation, Representation, and Formalisation Digital Libraries of Mathematics
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    Chapter 2 MKM from Book to Computer: A Case Study
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    Chapter 3 From Proof-Assistants to Distributed Libraries of Mathematics: Tips and Pitfalls
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    Chapter 4 Managing Digital Mathematical Discourse
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    Chapter 5 NAG Library Documentation
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    Chapter 6 On the Roles of LATEX and MathML in Encoding and Processing Mathematical Expressions
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    Chapter 7 Problems and Solutions for Markup for Mathematical Examples and Exercises
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    Chapter 8 An Annotated Corpus and a Grammar Model of Theorem Description
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    Chapter 9 A Query Language for a Metadata Framework about Mathematical Resources
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    Chapter 10 Information Retrieval in MML
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    Chapter 11 An Expert System for the Flexible Processing of X ML -Based Mathematical Knowledge in a P ROLOG —Environment
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    Chapter 12 Towards Collaborative Content Management and Version Control for Structured Mathematical Knowledge
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    Chapter 13 On the Integrity of a Repository of Formalized Mathematics
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    Chapter 14 A Theoretical Analysis of Hierarchical Proofs
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    Chapter 15 Comparing Mathematical Provers
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    Chapter 16 Translating Mizar for First Order Theorem Provers
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    Chapter 17 The Mathematical Semantic Web
Overall attention for this book and its chapters
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About this Attention Score

  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 tweeter

Citations

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7 Dimensions

Readers on

mendeley
1 Mendeley
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Title
Mathematical Knowledge Management
Published by
Lecture notes in computer science, January 2003
DOI 10.1007/3-540-36469-2
ISBNs
978-3-54-000568-1, 978-3-54-036469-6
Editors

Asperti, Andrea, Buchberger, Bruno, Davenport, James Harold

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 100%
Readers by discipline Count As %
Agricultural and Biological Sciences 1 100%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 22 June 2015.
All research outputs
#10,368,097
of 16,241,843 outputs
Outputs from Lecture notes in computer science
#4,242
of 7,659 outputs
Outputs of similar age
#203,163
of 360,622 outputs
Outputs of similar age from Lecture notes in computer science
#84
of 136 outputs
Altmetric has tracked 16,241,843 research outputs across all sources so far. This one is in the 23rd percentile – i.e., 23% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,659 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 26th percentile – i.e., 26% of its peers scored the same or lower than it.
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 360,622 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 136 others from the same source and published within six weeks on either side of this one. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.