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Mendeley readers
Attention Score in Context
Title |
An efficient swarm intelligence approach to the optimization on high-dimensional solutions with cross-dimensional constraints, with applications in supply chain management
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Published in |
Frontiers in Computational Neuroscience, January 2024
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DOI | 10.3389/fncom.2024.1283974 |
Pubmed ID | |
Authors |
Hsin-Ping Liu, Frederick Kin Hing Phoa, Yun-Heh Chen-Burger, Shau-Ping Lin |
X Demographics
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 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 1 | 25% |
Unknown | 3 | 75% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 25% |
Computer Science | 1 | 25% |
Unknown | 2 | 50% |
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 07 February 2024.
All research outputs
#22,709,862
of 25,330,051 outputs
Outputs from Frontiers in Computational Neuroscience
#1,233
of 1,453 outputs
Outputs of similar age
#178,598
of 220,155 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#15
of 16 outputs
Altmetric has tracked 25,330,051 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 1,453 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. 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 220,155 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 16 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.