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Modeling and control of electroadhesion force in DC voltage

Overview of attention for article published in ROBOMECH Journal, June 2017
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About this Attention Score

  • Average Attention Score compared to outputs of the same age
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
3 X users

Citations

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52 Dimensions

Readers on

mendeley
63 Mendeley
Title
Modeling and control of electroadhesion force in DC voltage
Published in
ROBOMECH Journal, June 2017
DOI 10.1186/s40648-017-0085-3
Authors

Taku Nakamura, Akio Yamamoto

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users 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 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 63 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 30%
Student > Bachelor 9 14%
Student > Master 5 8%
Student > Doctoral Student 3 5%
Researcher 2 3%
Other 4 6%
Unknown 21 33%
Readers by discipline Count As %
Engineering 30 48%
Chemistry 2 3%
Physics and Astronomy 2 3%
Materials Science 2 3%
Biochemistry, Genetics and Molecular Biology 1 2%
Other 1 2%
Unknown 25 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 27 October 2017.
All research outputs
#14,941,384
of 22,981,247 outputs
Outputs from ROBOMECH Journal
#34
of 70 outputs
Outputs of similar age
#188,770
of 317,509 outputs
Outputs of similar age from ROBOMECH Journal
#3
of 6 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 70 research outputs from this source. They receive a mean Attention Score of 3.0. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 317,509 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 37th percentile – i.e., 37% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 6 others from the same source and published within six weeks on either side of this one. This one has scored higher than 3 of them.