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Advancing Big Data Benchmarks

Overview of attention for book
Attention for Chapter 14: MPP SQL Engines: Architectural Choices and Their Implications on Benchmarking
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1 Facebook page

Citations

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4 Dimensions

Readers on

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3 Mendeley
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Chapter title
MPP SQL Engines: Architectural Choices and Their Implications on Benchmarking
Chapter number 14
Book title
Advancing Big Data Benchmarks
Published in
Lecture notes in computer science, July 2013
DOI 10.1007/978-3-319-10596-3_14
Book ISBNs
978-3-31-910595-6, 978-3-31-910596-3
Authors

Ravi Chandran, K. T. Sridhar, M. A. Sakkeer

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 3 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 1 33%
Student > Postgraduate 1 33%
Student > Doctoral Student 1 33%
Readers by discipline Count As %
Computer Science 3 100%
Attention Score in Context

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 November 2014.
All research outputs
#20,243,777
of 22,771,140 outputs
Outputs from Lecture notes in computer science
#6,980
of 8,123 outputs
Outputs of similar age
#170,267
of 194,063 outputs
Outputs of similar age from Lecture notes in computer science
#128
of 146 outputs
Altmetric has tracked 22,771,140 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,123 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 1st percentile – i.e., 1% 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 194,063 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 146 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.