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Robot-aided electrospinning toward intelligent biomedical engineering

Overview of attention for article published in Robotics and Biomimetics, November 2017
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  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

twitter
2 tweeters

Citations

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6 Dimensions

Readers on

mendeley
26 Mendeley
Title
Robot-aided electrospinning toward intelligent biomedical engineering
Published in
Robotics and Biomimetics, November 2017
DOI 10.1186/s40638-017-0075-1
Pubmed ID
Authors

Rong Tan, Xiong Yang, Yajing Shen

Abstract

The rapid development of robotics offers new opportunities for the traditional biofabrication in higher accuracy and controllability, which provides great potentials for the intelligent biomedical engineering. This paper reviews the state of the art of robotics in a widely used biomaterial fabrication process, i.e., electrospinning, including its working principle, main applications, challenges, and prospects. First, the principle and technique of electrospinning are introduced by categorizing it to melt electrospinning, solution electrospinning, and near-field electrospinning. Then, the applications of electrospinning in biomedical engineering are introduced briefly from the aspects of drug delivery, tissue engineering, and wound dressing. After that, we conclude the existing problems in traditional electrospinning such as low production, rough nanofibers, and uncontrolled morphology, and then discuss how those problems are addressed by robotics via four case studies. Lastly, the challenges and outlooks of robotics in electrospinning are discussed and prospected.

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

Geographical breakdown

Country Count As %
Unknown 26 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 6 23%
Student > Master 4 15%
Student > Doctoral Student 2 8%
Researcher 2 8%
Student > Ph. D. Student 2 8%
Other 1 4%
Unknown 9 35%
Readers by discipline Count As %
Engineering 5 19%
Pharmacology, Toxicology and Pharmaceutical Science 3 12%
Biochemistry, Genetics and Molecular Biology 3 12%
Materials Science 2 8%
Medicine and Dentistry 1 4%
Other 1 4%
Unknown 11 42%

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 06 March 2018.
All research outputs
#8,788,275
of 14,978,923 outputs
Outputs from Robotics and Biomimetics
#11
of 35 outputs
Outputs of similar age
#159,818
of 316,335 outputs
Outputs of similar age from Robotics and Biomimetics
#7
of 20 outputs
Altmetric has tracked 14,978,923 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 35 research outputs from this source. They receive a mean Attention Score of 1.6. This one scored the same or higher as 24 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 316,335 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 46th percentile – i.e., 46% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 20 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.