| Title |
Predicting the mechanical properties of spider silk as a model nanostructured polymer
|
|---|---|
| Published in |
The European Physical Journal E, February 2005
|
| DOI | 10.1140/epje/e2005-00021-2 |
| Pubmed ID | |
| Authors |
D. Porter, F. Vollrath, Z. Shao |
| Abstract |
Spider silk is attractive because it is strong and tough. Moreover, an enormous range of mechanical properties can be achieved with only small changes in chemical structure. Our research shows that the full range of thermo-mechanical properties of silk fibres can be predicted from mean field theory for polymers in terms of chemical composition and the degree of order in the polymer structure. Thus, we can demonstrate an inherent simplicity at a macromolecular level in the design principles of natural materials. This surprising observation allows in depth comparison of natural with man-made materials. |
Mendeley readers
The data shown below were compiled from readership statistics for 115 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 3% |
| United States | 2 | 2% |
| Malaysia | 1 | <1% |
| Germany | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Unknown | 106 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 37 | 32% |
| Researcher | 20 | 17% |
| Student > Bachelor | 10 | 9% |
| Student > Master | 8 | 7% |
| Student > Doctoral Student | 7 | 6% |
| Other | 15 | 13% |
| Unknown | 18 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 25 | 22% |
| Materials Science | 18 | 16% |
| Agricultural and Biological Sciences | 16 | 14% |
| Biochemistry, Genetics and Molecular Biology | 13 | 11% |
| Physics and Astronomy | 9 | 8% |
| Other | 16 | 14% |
| Unknown | 18 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2022.
All research outputs
#7,729,323
of 23,498,099 outputs
Outputs from The European Physical Journal E
#196
of 650 outputs
Outputs of similar age
#21,022
of 59,946 outputs
Outputs of similar age from The European Physical Journal E
#3
of 6 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 650 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has gotten more attention than average, scoring higher than 55% 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 59,946 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% 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.