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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Shadow Programming: Reasoning About Programs Using Lexical Join Point Information
|
|---|---|
| Chapter number | 11 |
| Book title |
Generative Programming and Component Engineering
|
| Published in |
Lecture notes in computer science, January 2005
|
| DOI | 10.1007/11561347_11 |
| Book ISBNs |
978-3-54-029138-1, 978-3-54-031977-1
|
| Authors |
Pengcheng Wu, Karl Lieberherr |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 11% |
| Canada | 1 | 11% |
| Unknown | 7 | 78% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 44% |
| Professor > Associate Professor | 2 | 22% |
| Student > Doctoral Student | 2 | 22% |
| Researcher | 1 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 89% |
| Psychology | 1 | 11% |
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 28 September 2011.
All research outputs
#15,236,094
of 22,653,392 outputs
Outputs from Lecture notes in computer science
#4,644
of 8,122 outputs
Outputs of similar age
#117,888
of 139,293 outputs
Outputs of similar age from Lecture notes in computer science
#92
of 132 outputs
Altmetric has tracked 22,653,392 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 8,122 research outputs from this source. They receive a mean Attention Score of 5.0. This one is in the 27th percentile – i.e., 27% 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 139,293 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 4th percentile – i.e., 4% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 132 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.