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Objects, Models, Components, Patterns

Overview of attention for book
Attention for Chapter 1: Deep Meta-modelling with MetaDepth
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Mentioned by

twitter
3 X users

Readers on

mendeley
59 Mendeley
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Chapter title
Deep Meta-modelling with MetaDepth
Chapter number 1
Book title
Objects, Models, Components, Patterns
Published in
ADS, January 2010
DOI 10.1007/978-3-642-13953-6_1
Book ISBNs
978-3-64-213952-9, 978-3-64-213953-6
Authors

Juan de Lara, Esther Guerra, de Lara, Juan, Guerra, Esther

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

Geographical breakdown

Country Count As %
Germany 3 5%
France 2 3%
Colombia 1 2%
Norway 1 2%
Spain 1 2%
Japan 1 2%
Croatia 1 2%
Unknown 49 83%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 25%
Student > Master 13 22%
Student > Doctoral Student 7 12%
Researcher 6 10%
Professor > Associate Professor 4 7%
Other 12 20%
Unknown 2 3%
Readers by discipline Count As %
Computer Science 46 78%
Engineering 5 8%
Linguistics 1 2%
Environmental Science 1 2%
Social Sciences 1 2%
Other 1 2%
Unknown 4 7%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 28 July 2015.
All research outputs
#13,701,332
of 22,733,113 outputs
Outputs from ADS
#27,154
of 37,294 outputs
Outputs of similar age
#130,639
of 163,695 outputs
Outputs of similar age from ADS
#592
of 793 outputs
Altmetric has tracked 22,733,113 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 37,294 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 163,695 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 793 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.