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X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Optimising Deep Learning by Hyper-heuristic Approach for Classifying Good Quality Images
|
---|---|
Chapter number | 41 |
Book title |
Computational Science – ICCS 2018
|
Published in |
Lecture notes in computer science, June 2018
|
DOI | 10.1007/978-3-319-93701-4_41 |
Book ISBNs |
978-3-31-993700-7, 978-3-31-993701-4
|
Authors |
Muneeb ul Hassan, Nasser R. Sabar, Andy Song, Hassan, Muneeb ul, Sabar, Nasser R., Song, Andy |
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 % |
---|---|---|
Pakistan | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 11 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 36% |
Student > Bachelor | 2 | 18% |
Lecturer | 1 | 9% |
Student > Master | 1 | 9% |
Professor > Associate Professor | 1 | 9% |
Other | 0 | 0% |
Unknown | 2 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 73% |
Immunology and Microbiology | 1 | 9% |
Engineering | 1 | 9% |
Unknown | 1 | 9% |
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 11 June 2018.
All research outputs
#16,167,338
of 23,982,398 outputs
Outputs from Lecture notes in computer science
#4,687
of 8,164 outputs
Outputs of similar age
#212,668
of 331,527 outputs
Outputs of similar age from Lecture notes in computer science
#7
of 15 outputs
Altmetric has tracked 23,982,398 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 8,164 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 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 331,527 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.