Peptide Self-Assembly
Humana Press
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Mendeley readers
Attention Score in Context
| Chapter title |
Production and Use of Recombinant Aβ for Aggregation Studies
|
|---|---|
| Book title |
Peptide Self-Assembly
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7811-3_19 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7809-0, 978-1-4939-7811-3
|
| Authors |
Tiernan T. O’Malley, Sara Linse, Dominic M. Walsh |
| Abstract |
The amyloid β-protein (Aβ) is believed to play a central role in Alzheimer's disease (AD) pathogenesis and there is great interest in understanding the process of Aβ aggregation, its underlying mechanism and the species generated during aggregation and their biological activity. Although Aβ has been studied for more than 30 years, analysis of its aggregation has been hampered by structural and chemical impurities. Here we provide a detailed protocol for the expression and purification of chemically and structurally homogeneous Aβ monomer. We also describe a method to produce covalent Aβ dimers linked by phenolic coupling of tyrosine residues. |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Other | 2 | 18% |
| Unspecified | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Student > Master | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 3 | 27% |
| Biochemistry, Genetics and Molecular Biology | 2 | 18% |
| Unspecified | 1 | 9% |
| Chemistry | 1 | 9% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 18 May 2018.
All research outputs
#4,233,076
of 23,057,470 outputs
Outputs from Methods in molecular biology
#1,139
of 13,196 outputs
Outputs of similar age
#92,850
of 442,487 outputs
Outputs of similar age from Methods in molecular biology
#95
of 1,499 outputs
Altmetric has tracked 23,057,470 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,196 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done particularly well, scoring higher than 90% 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 442,487 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 1,499 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.