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Timeline
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Awareness Requirements
|
---|---|
Chapter number | 6 |
Book title |
Software Engineering for Self-Adaptive Systems II
|
Published in |
Lecture notes in computer science, January 2013
|
DOI | 10.1007/978-3-642-35813-5_6 |
Book ISBNs |
978-3-64-235812-8, 978-3-64-235813-5
|
Authors |
John Mylopoulos, Vítor E. Silva Souza, Alexei Lapouchnian, William N. Robinson |
Editors |
Rogério de Lemos, Holger Giese, Hausi A. Müller, Mary Shaw |
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.
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.
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.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 2 | 5% |
Canada | 1 | 2% |
Unknown | 41 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 30% |
Student > Master | 8 | 18% |
Researcher | 6 | 14% |
Student > Doctoral Student | 4 | 9% |
Professor > Associate Professor | 3 | 7% |
Other | 4 | 9% |
Unknown | 6 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 31 | 70% |
Engineering | 2 | 5% |
Business, Management and Accounting | 1 | 2% |
Chemistry | 1 | 2% |
Social Sciences | 1 | 2% |
Other | 0 | 0% |
Unknown | 8 | 18% |
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 08 January 2013.
All research outputs
#15,260,208
of 22,691,736 outputs
Outputs from Lecture notes in computer science
#4,644
of 8,123 outputs
Outputs of similar age
#181,440
of 280,671 outputs
Outputs of similar age from Lecture notes in computer science
#191
of 314 outputs
Altmetric has tracked 22,691,736 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 8,123 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 280,671 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 314 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.