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Model and Data Engineering

Overview of attention for book
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
facebook
1 Facebook page

Readers on

mendeley
2 Mendeley
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Title
Model and Data Engineering
Published by
Lecture notes in computer science, January 2012
DOI 10.1007/978-3-642-33609-6
ISBNs
978-3-64-233608-9, 978-3-64-233609-6
Authors

Alberto Abelló, Ladjel Bellatreche, Boualem Benatallah, Abello, Alberto, Bellatreche, Ladjel, Benatallah, Boualem

Editors

Alberto Abello, Ladjel Bellatreche, Boualem Benatallah

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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Professor 1 50%
Unknown 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Unknown 1 50%

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 2012.
All research outputs
#7,125,220
of 9,673,602 outputs
Outputs from Lecture notes in computer science
#5,256
of 7,045 outputs
Outputs of similar age
#219,532
of 342,499 outputs
Outputs of similar age from Lecture notes in computer science
#758
of 1,042 outputs
Altmetric has tracked 9,673,602 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,045 research outputs from this source. They receive a mean Attention Score of 4.2. This one is in the 24th percentile – i.e., 24% 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 342,499 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,042 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.