| Title |
Topology optimization of truss subjected to static and dynamic constraints by integrating simulated annealing into passing vehicle search algorithms
|
|---|---|
| Published in |
Engineering with Computers, May 2018
|
| DOI | 10.1007/s00366-018-0612-8 |
| Authors |
Ghanshyam G. Tejani, Vimal J. Savsani, Sujin Bureerat, Vivek K. Patel, Poonam Savsani |
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 % |
|---|---|---|
| India | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 28 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 14% |
| Student > Doctoral Student | 3 | 11% |
| Student > Ph. D. Student | 3 | 11% |
| Professor | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Other | 5 | 18% |
| Unknown | 8 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 17 | 61% |
| Computer Science | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Unknown | 9 | 32% |
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 09 May 2018.
All research outputs
#15,508,366
of 23,047,237 outputs
Outputs from Engineering with Computers
#135
of 182 outputs
Outputs of similar age
#208,792
of 327,709 outputs
Outputs of similar age from Engineering with Computers
#3
of 3 outputs
Altmetric has tracked 23,047,237 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 182 research outputs from this source. They receive a mean Attention Score of 3.0. This one is in the 11th percentile – i.e., 11% 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 327,709 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% 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.