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Performance Evaluation and Benchmarking. Traditional - Big Data - Interest of Things

Overview of attention for book
Overall attention for this book and its chapters
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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4 Dimensions

Readers on

mendeley
20 Mendeley
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Title
Performance Evaluation and Benchmarking. Traditional - Big Data - Interest of Things
Published by
Lecture notes in computer science, January 2017
DOI 10.1007/978-3-319-54334-5
ISBNs
978-3-31-954333-8, 978-3-31-954334-5
Editors

Raghunath Nambiar, Meikel Poess

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 4 20%
Student > Bachelor 2 10%
Student > Ph. D. Student 2 10%
Student > Doctoral Student 1 5%
Researcher 1 5%
Other 0 0%
Unknown 10 50%
Readers by discipline Count As %
Computer Science 6 30%
Agricultural and Biological Sciences 1 5%
Business, Management and Accounting 1 5%
Social Sciences 1 5%
Engineering 1 5%
Other 0 0%
Unknown 10 50%
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 14 March 2017.
All research outputs
#13,468,709
of 22,959,818 outputs
Outputs from Lecture notes in computer science
#3,996
of 8,134 outputs
Outputs of similar age
#210,939
of 421,031 outputs
Outputs of similar age from Lecture notes in computer science
#89
of 149 outputs
Altmetric has tracked 22,959,818 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,134 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 50% 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 421,031 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
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 is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.