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X Demographics
Mendeley readers
Attention Score in Context
Title |
Performance Evaluation Metrics for Multi-Objective Evolutionary Algorithms in Search-Based Software Engineering: Systematic Literature Review
|
---|---|
Published in |
Applied Sciences, March 2021
|
DOI | 10.3390/app11073117 |
Authors |
Jamal Abdullahi Nuh, Tieng Wei Koh, Salmi Baharom, Mohd Hafeez Osman, Si Na Kew |
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 % |
---|---|---|
Switzerland | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 40 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 18% |
Student > Ph. D. Student | 3 | 8% |
Lecturer | 2 | 5% |
Student > Bachelor | 2 | 5% |
Professor > Associate Professor | 2 | 5% |
Other | 4 | 10% |
Unknown | 20 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 28% |
Engineering | 8 | 20% |
Energy | 1 | 3% |
Unspecified | 1 | 3% |
Unknown | 19 | 48% |
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 10 April 2023.
All research outputs
#20,925,547
of 23,556,846 outputs
Outputs from Applied Sciences
#8,131
of 10,964 outputs
Outputs of similar age
#367,614
of 433,040 outputs
Outputs of similar age from Applied Sciences
#562
of 888 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,964 research outputs from this source. They receive a mean Attention Score of 2.2. This one is in the 1st percentile – i.e., 1% 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 433,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 888 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.