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Direct-write, highly aligned chitosan-poly(ethylene oxide) nanofiber patterns for cell morphology and spreading control

Overview of attention for article published in Discover Nano, February 2013
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  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

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1 X user

Citations

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27 Dimensions

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62 Mendeley
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Title
Direct-write, highly aligned chitosan-poly(ethylene oxide) nanofiber patterns for cell morphology and spreading control
Published in
Discover Nano, February 2013
DOI 10.1186/1556-276x-8-97
Pubmed ID
Authors

Yiin Kuen Fuh, Sheng Zhan Chen, Zhe Yu He

Abstract

Near-field electrospinning has been demonstrated to be able to achieve direct-write and highly aligned chitosan nanofibers (CNF) with prescribed positioning density. Cell spreading in preferential direction could be observed on parallel-aligned nanofibers, and the CNF patterns were capable of guiding cell extension when the distances between them are 20 and 100 μm, respectively. Alignment of the cells was characterized according to their elongation and orientation using the fast Fourier transform data and binary image analysis. Parallel CNF indicates that the alignment values sequentially increased as a function of positioning density such that incrementally more aligned cells were closely related to the increasing CNF positioning density. These maskless, low-cost, and direct-write patterns can be facily fabricated and will be a promising tool to study cell-based research such as cell adhesion, spreading, and tissue architecture.

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

Geographical breakdown

Country Count As %
Malaysia 1 2%
Unknown 61 98%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 34%
Student > Master 8 13%
Student > Doctoral Student 7 11%
Student > Bachelor 7 11%
Researcher 4 6%
Other 5 8%
Unknown 10 16%
Readers by discipline Count As %
Engineering 15 24%
Materials Science 11 18%
Chemistry 5 8%
Agricultural and Biological Sciences 5 8%
Medicine and Dentistry 4 6%
Other 8 13%
Unknown 14 23%
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 27 February 2013.
All research outputs
#20,657,128
of 25,374,917 outputs
Outputs from Discover Nano
#691
of 1,146 outputs
Outputs of similar age
#158,101
of 205,108 outputs
Outputs of similar age from Discover Nano
#17
of 87 outputs
Altmetric has tracked 25,374,917 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,146 research outputs from this source. They receive a mean Attention Score of 3.5. This one is in the 30th percentile – i.e., 30% 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 205,108 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 11th percentile – i.e., 11% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 87 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.