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A performance-based design framework for enhancing decision-making at the conceptual phase of a motorcycle rear suspension development

Overview of attention for article published in Optimization and Engineering, November 2019
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  • Average Attention Score compared to outputs of the same age

Mentioned by

twitter
1 X user

Citations

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3 Dimensions

Readers on

mendeley
16 Mendeley
Title
A performance-based design framework for enhancing decision-making at the conceptual phase of a motorcycle rear suspension development
Published in
Optimization and Engineering, November 2019
DOI 10.1007/s11081-019-09475-w
Authors

Sergio Corbera Caraballo, Roberto Alvarez Fernandez

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 16 100%

Demographic breakdown

Readers by professional status Count As %
Professor > Associate Professor 3 19%
Student > Bachelor 2 13%
Student > Ph. D. Student 2 13%
Student > Doctoral Student 1 6%
Other 1 6%
Other 1 6%
Unknown 6 38%
Readers by discipline Count As %
Engineering 4 25%
Computer Science 2 13%
Medicine and Dentistry 1 6%
Materials Science 1 6%
Unknown 8 50%
Attention Score in Context

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 28 November 2019.
All research outputs
#15,590,077
of 23,177,498 outputs
Outputs from Optimization and Engineering
#60
of 108 outputs
Outputs of similar age
#276,147
of 459,026 outputs
Outputs of similar age from Optimization and Engineering
#2
of 3 outputs
Altmetric has tracked 23,177,498 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 108 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 25th percentile – i.e., 25% 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 459,026 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.