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Mendeley readers
Attention Score in Context
| Title |
Determining the Structure of Interfacial Peptide Films: Comparing Neutron Reflectometry and Molecular Dynamics Simulations
|
|---|---|
| Published in |
Langmuir, August 2014
|
| DOI | 10.1021/la501715h |
| Pubmed ID | |
| Authors |
Ying Xue, Lizhong He, Anton P. J. Middelberg, Alan E. Mark, David Poger |
| Abstract |
The peptides AM1 and Lac21E self-organize into switchable films at an air-water interface. In an earlier study, it was proposed that both AM1 and Lac21E formed monolayers of α-helical peptides based on consistency with neutron reflectivity data. In this article, molecular dynamics simulations of assemblies of helical and nonhelical AM1 and Lac21E at an air-water interface suggest some tendency for the peptides to spontaneously adopt an α-helical conformation. However, irrespective of the structure of the peptides, the simulations reproduced not only the structural properties of the films (thickness and distribution of the hydrophobic and hydrophilic amino acids) but also the experimental neutron reflectivity measurements at different contrast variations. This suggests that neutron reflectometry alone cannot be used to determine the structure of the peptides in this case. However, together with molecular dynamics simulations, it is possible to obtain a detailed understanding of peptide films at an atomic level. |
Mendeley readers
The data shown below were compiled from readership statistics for 21 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 21 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 24% |
| Student > Ph. D. Student | 5 | 24% |
| Student > Bachelor | 2 | 10% |
| Other | 1 | 5% |
| Lecturer > Senior Lecturer | 1 | 5% |
| Other | 3 | 14% |
| Unknown | 4 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 5 | 24% |
| Agricultural and Biological Sciences | 2 | 10% |
| Chemical Engineering | 1 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 2 | 10% |
| Unknown | 9 | 43% |
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 15 August 2014.
All research outputs
#20,234,388
of 22,760,687 outputs
Outputs from Langmuir
#12,582
of 13,936 outputs
Outputs of similar age
#194,333
of 231,195 outputs
Outputs of similar age from Langmuir
#117
of 130 outputs
Altmetric has tracked 22,760,687 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,936 research outputs from this source. They receive a mean Attention Score of 3.8. This one is in the 1st percentile – i.e., 1% 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 231,195 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 130 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.