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Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering

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Overall attention for this book and its chapters
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (72nd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (63rd percentile)

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Citations

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22 Dimensions

Readers on

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18 Mendeley
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Title
Reasoning Web: Logical Foundation of Knowledge Graph Construction and Query Answering
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-49493-7
ISBNs
978-3-31-949492-0, 978-3-31-949493-7
Editors

Jeff Z. Pan, Diego Calvanese, Thomas Eiter, Ian Horrocks, Michael Kifer, Fangzhen Lin, Yuting Zhao

X Demographics

X Demographics

The data shown below were collected from the profiles of 10 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 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 18 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 50%
Other 2 11%
Researcher 2 11%
Student > Master 2 11%
Lecturer 1 6%
Other 0 0%
Unknown 2 11%
Readers by discipline Count As %
Computer Science 14 78%
Social Sciences 1 6%
Unknown 3 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 15 November 2018.
All research outputs
#6,442,213
of 23,858,780 outputs
Outputs from Lecture notes in computer science
#2,028
of 8,162 outputs
Outputs of similar age
#116,660
of 425,152 outputs
Outputs of similar age from Lecture notes in computer science
#55
of 149 outputs
Altmetric has tracked 23,858,780 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 8,162 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one has done well, scoring higher than 75% 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 425,152 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 72% of its contemporaries.
We're also able to compare this research output to 149 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 63% of its contemporaries.