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Programming magnetic anisotropy in polymeric microactuators

Overview of attention for article published in Nature Materials, August 2011
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (94th percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

1 blog
2 tweeters
4 patents


307 Dimensions

Readers on

362 Mendeley
Programming magnetic anisotropy in polymeric microactuators
Published in
Nature Materials, August 2011
DOI 10.1038/nmat3090
Pubmed ID

Jiyun Kim, Su Eun Chung, Sung-Eun Choi, Howon Lee, Junhoi Kim, Sunghoon Kwon


Polymeric microcomponents are widely used in microelectromechanical systems (MEMS) and lab-on-a-chip devices, but they suffer from the lack of complex motion, effective addressability and precise shape control. To address these needs, we fabricated polymeric nanocomposite microactuators driven by programmable heterogeneous magnetic anisotropy. Spatially modulated photopatterning was applied in a shape-independent manner to microactuator components by successive confinement of self-assembled magnetic nanoparticles in a fixed polymer matrix. By freely programming the rotational axis of each component, we demonstrate that the polymeric microactuators can undergo predesigned, complex two- and three-dimensional motion.

Twitter Demographics

The data shown below were collected from the profiles of 2 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 362 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 1%
Germany 2 <1%
Korea, Republic of 1 <1%
Switzerland 1 <1%
United Kingdom 1 <1%
Japan 1 <1%
India 1 <1%
Unknown 351 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 117 32%
Student > Master 56 15%
Researcher 54 15%
Student > Bachelor 29 8%
Student > Doctoral Student 17 5%
Other 40 11%
Unknown 49 14%
Readers by discipline Count As %
Engineering 146 40%
Materials Science 49 14%
Chemistry 36 10%
Physics and Astronomy 33 9%
Chemical Engineering 13 4%
Other 18 5%
Unknown 67 19%

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 25 August 2020.
All research outputs
of 18,724,433 outputs
Outputs from Nature Materials
of 3,594 outputs
Outputs of similar age
of 125,302 outputs
Outputs of similar age from Nature Materials
of 44 outputs
Altmetric has tracked 18,724,433 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,594 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 30.6. This one has gotten more attention than average, scoring higher than 70% 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 125,302 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 94% of its contemporaries.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.