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X Demographics
Mendeley readers
Attention Score in Context
| Title |
One-DOF Superimposed Rigid Origami with Multiple States
|
|---|---|
| Published in |
Scientific Reports, November 2016
|
| DOI | 10.1038/srep36883 |
| Pubmed ID | |
| Authors |
Xiang Liu, Joseph M. Gattas, Yan Chen |
| Abstract |
Origami-inspired engineering design is increasingly used in the development of self-folding structures. The majority of existing self-folding structures either use a bespoke crease pattern to form a single structure, or a universal crease pattern capable of forming numerous structures with multiple folding steps. This paper presents a new approach whereby multiple distinct, rigid-foldable crease patterns are superimposed in the same sheet such that kinematic independence and 1-DOF mobility of each individual pattern is preserved. This is enabled by the cross-crease vertex, a special configuration consisting of two pairs of collinear crease lines, which is proven here by means of a kinematic analysis to contain two independent 1-DOF rigid-foldable states. This enables many new origami-inspired engineering design possibilities, with two explored in depth: the compact folding of non-flat-foldable structures and sequent folding origami that can transform between multiple states without unfolding. |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Denmark | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 2% |
| Unknown | 41 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 24% |
| Student > Ph. D. Student | 10 | 24% |
| Researcher | 5 | 12% |
| Student > Bachelor | 3 | 7% |
| Professor > Associate Professor | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 60% |
| Unspecified | 1 | 2% |
| Computer Science | 1 | 2% |
| Design | 1 | 2% |
| Unknown | 14 | 33% |
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 30 November 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Scientific Reports
#78,088
of 123,770 outputs
Outputs of similar age
#197,253
of 312,765 outputs
Outputs of similar age from Scientific Reports
#2,377
of 3,601 outputs
Altmetric has tracked 22,903,988 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 123,770 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 18.2. This one is in the 29th percentile – i.e., 29% 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 312,765 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 3,601 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.