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A decomposition approach to the design of a multiferroic memory bit

Overview of attention for article published in Frontiers of Mechanical Engineering, May 2017
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1 X user

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6 Mendeley
Title
A decomposition approach to the design of a multiferroic memory bit
Published in
Frontiers of Mechanical Engineering, May 2017
DOI 10.1007/s11465-017-0446-x
Authors

Ruben Acevedo, Cheng-Yen Liang, Gregory P. Carman, Abdon E. Sepulveda

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 > Ph. D. Student 4 67%
Student > Doctoral Student 2 33%
Readers by discipline Count As %
Engineering 6 100%
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 26 May 2017.
All research outputs
#15,462,982
of 22,977,819 outputs
Outputs from Frontiers of Mechanical Engineering
#25
of 31 outputs
Outputs of similar age
#196,926
of 313,455 outputs
Outputs of similar age from Frontiers of Mechanical Engineering
#2
of 3 outputs
Altmetric has tracked 22,977,819 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 31 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.4. This one scored the same or higher as 6 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 313,455 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% 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.