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X Demographics
Mendeley readers
Attention Score in Context
| 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 |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 328 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 | 274 | 84% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 99 | 30% |
| Student > Master | 64 | 20% |
| Researcher | 41 | 13% |
| Student > Bachelor | 22 | 7% |
| Professor > Associate Professor | 21 | 6% |
| Other | 60 | 18% |
| Unknown | 21 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 262 | 80% |
| Engineering | 15 | 5% |
| Social Sciences | 6 | 2% |
| Physics and Astronomy | 4 | 1% |
| Linguistics | 3 | <1% |
| Other | 10 | 3% |
| Unknown | 28 | 9% |
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