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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Prioritising Security Tests on Large-Scale and Distributed Software Development Projects by Using Self-organised Maps
|
---|---|
Chapter number | 8 |
Book title |
Neural Information Processing
|
Published in |
Lecture notes in computer science, September 2016
|
DOI | 10.1007/978-3-319-46681-1_8 |
Book ISBNs |
978-3-31-946680-4, 978-3-31-946681-1
|
Authors |
Marcos Alvares, Fernando Buarque de Lima Neto, Tshilidzi Marwala |
Editors |
Akira Hirose, Seiichi Ozawa, Kenji Doya, Kazushi Ikeda, Minho Lee, Derong Liu |
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 % |
---|---|---|
Japan | 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 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 1 | 7% |
Unknown | 14 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 27% |
Student > Ph. D. Student | 1 | 7% |
Unspecified | 1 | 7% |
Other | 1 | 7% |
Lecturer | 1 | 7% |
Other | 0 | 0% |
Unknown | 7 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 40% |
Unspecified | 1 | 7% |
Medicine and Dentistry | 1 | 7% |
Engineering | 1 | 7% |
Unknown | 6 | 40% |
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 04 October 2016.
All research outputs
#15,034,250
of 23,321,213 outputs
Outputs from Lecture notes in computer science
#4,511
of 8,159 outputs
Outputs of similar age
#194,193
of 323,902 outputs
Outputs of similar age from Lecture notes in computer science
#278
of 530 outputs
Altmetric has tracked 23,321,213 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,159 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 43rd percentile – i.e., 43% 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 323,902 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 530 others from the same source and published within six weeks on either side of this one. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.