Title |
A Critical Assessment of Kriging Model Variants for High-Fidelity Uncertainty Quantification in Dynamics of composite Shells
|
---|---|
Published in |
Archives of Computational Methods in Engineering, April 2016
|
DOI | 10.1007/s11831-016-9178-z |
Authors |
T. Mukhopadhyay, S. Chakraborty, S. Dey, S. Adhikari, R. Chowdhury |
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 % |
---|---|---|
United Kingdom | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 57 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 1 | 2% |
Unknown | 56 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 26% |
Student > Master | 6 | 11% |
Student > Doctoral Student | 6 | 11% |
Researcher | 5 | 9% |
Student > Bachelor | 3 | 5% |
Other | 12 | 21% |
Unknown | 10 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Engineering | 29 | 51% |
Environmental Science | 2 | 4% |
Biochemistry, Genetics and Molecular Biology | 2 | 4% |
Social Sciences | 2 | 4% |
Medicine and Dentistry | 1 | 2% |
Other | 2 | 4% |
Unknown | 19 | 33% |
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 03 March 2017.
All research outputs
#18,536,772
of 22,958,253 outputs
Outputs from Archives of Computational Methods in Engineering
#122
of 170 outputs
Outputs of similar age
#220,708
of 301,215 outputs
Outputs of similar age from Archives of Computational Methods in Engineering
#3
of 3 outputs
Altmetric has tracked 22,958,253 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 170 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 13th percentile – i.e., 13% 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 301,215 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 15th percentile – i.e., 15% 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.