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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Optimised crossover genetic algorithm for capacitated vehicle routing problem
|
|---|---|
| Published in |
Applied Mathematical Modelling, May 2012
|
| DOI | 10.1016/j.apm.2011.08.010 |
| Authors |
Habibeh Nazif, Lai Soon Lee |
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 154 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 1% |
| Malaysia | 1 | <1% |
| Indonesia | 1 | <1% |
| Italy | 1 | <1% |
| Mexico | 1 | <1% |
| Belgium | 1 | <1% |
| Unknown | 147 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 28 | 18% |
| Student > Master | 27 | 18% |
| Student > Bachelor | 18 | 12% |
| Student > Doctoral Student | 14 | 9% |
| Researcher | 9 | 6% |
| Other | 31 | 20% |
| Unknown | 27 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 52 | 34% |
| Computer Science | 32 | 21% |
| Mathematics | 12 | 8% |
| Business, Management and Accounting | 10 | 6% |
| Decision Sciences | 4 | 3% |
| Other | 5 | 3% |
| Unknown | 39 | 25% |
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 05 January 2018.
All research outputs
#20,655,488
of 25,371,288 outputs
Outputs from Applied Mathematical Modelling
#461
of 653 outputs
Outputs of similar age
#137,642
of 175,822 outputs
Outputs of similar age from Applied Mathematical Modelling
#5
of 7 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 653 research outputs from this source. They receive a mean Attention Score of 2.5. This one is in the 16th percentile – i.e., 16% 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 175,822 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 9th percentile – i.e., 9% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.