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ECOOP'97 — Object-Oriented Programming

Overview of attention for book
ECOOP'97 — Object-Oriented Programming
Springer Berlin Heidelberg
Attention for Chapter: Aspect-oriented programming
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (69th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

twitter
2 X users
wikipedia
9 Wikipedia pages

Readers on

mendeley
330 Mendeley
citeulike
10 CiteULike
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Chapter title
Aspect-oriented programming
Book title
ECOOP'97 — Object-Oriented Programming
Published in
Lecture notes in computer science, June 1997
DOI 10.1007/bfb0053381
Book ISBNs
978-3-54-063089-0, 978-3-54-069127-3
Authors

Gregor Kiczales, John Lamping, Anurag Mendhekar, Chris Maeda, Cristina Lopes, Jean-Marc Loingtier, John Irwin, Kiczales, Gregor, Lamping, John, Mendhekar, Anurag, Maeda, Chris, Lopes, Cristina, Loingtier, Jean-Marc, Irwin, John

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 330 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 6 2%
Brazil 6 2%
Germany 5 2%
Portugal 5 2%
United Kingdom 4 1%
France 3 <1%
Canada 3 <1%
Belgium 2 <1%
Japan 2 <1%
Other 18 5%
Unknown 276 84%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 99 30%
Student > Master 64 19%
Researcher 41 12%
Student > Bachelor 22 7%
Professor > Associate Professor 21 6%
Other 60 18%
Unknown 23 7%
Readers by discipline Count As %
Computer Science 262 79%
Engineering 15 5%
Social Sciences 6 2%
Physics and Astronomy 4 1%
Linguistics 3 <1%
Other 10 3%
Unknown 30 9%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 19 April 2023.
All research outputs
#6,915,364
of 24,145,400 outputs
Outputs from Lecture notes in computer science
#2,132
of 8,183 outputs
Outputs of similar age
#9,204
of 31,416 outputs
Outputs of similar age from Lecture notes in computer science
#1
of 7 outputs
Altmetric has tracked 24,145,400 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 8,183 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 gotten more attention than average, scoring higher than 72% 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 31,416 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 69% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them