↓ Skip to main content

Bio-inspired optimization algorithms applied to rectenna design

Overview of attention for article published in Big Data Analytics, January 2018
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
6 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Bio-inspired optimization algorithms applied to rectenna design
Published in
Big Data Analytics, January 2018
DOI 10.1186/s41044-017-0026-4
Authors

Menglong He, Zhao Wang, Mark Leach, Zhenzhen Jiang, Eng Gee Lim

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 1 17%
Lecturer 1 17%
Student > Postgraduate 1 17%
Student > Master 1 17%
Unknown 2 33%
Readers by discipline Count As %
Engineering 3 50%
Computer Science 1 17%
Unknown 2 33%
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 16 October 2018.
All research outputs
#18,652,089
of 23,106,934 outputs
Outputs from Big Data Analytics
#20
of 32 outputs
Outputs of similar age
#331,201
of 442,916 outputs
Outputs of similar age from Big Data Analytics
#1
of 2 outputs
Altmetric has tracked 23,106,934 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 32 research outputs from this source. They receive a mean Attention Score of 3.6. This one scored the same or higher as 12 of them.
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 442,916 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 14th percentile – i.e., 14% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them