Tandem Repeats in Genes, Proteins, and Disease
Humana Press
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Mendeley readers
Attention Score in Context
| Chapter title |
Tandem Repeats in Genes, Proteins, and Disease
|
|---|---|
| Chapter number | 16 |
| Book title |
Tandem Repeats in Genes, Proteins, and Disease
|
| Published in |
Methods in molecular biology, January 2013
|
| DOI | 10.1007/978-1-62703-438-8_16 |
| Pubmed ID | |
| Book ISBNs |
978-1-62703-437-1, 978-1-62703-438-8
|
| Authors |
Ross, Eric D, Maclea, Kyle S, Anderson, Charles, Ben-Hur, Asa, Eric D. Ross, Kyle S. MacLea, Charles Anderson, Asa Ben-Hur |
| Abstract |
Numerous proteins contain domains that are enriched in glutamine and asparagine residues, and aggregation of some of these proteins has been linked to both prion formation in yeast and a number of human diseases. Unfortunately, predicting whether a given glutamine/asparagine-rich protein will aggregate has proven difficult. Here we describe a recently developed algorithm designed to predict the aggregation propensity of glutamine/asparagine-rich proteins. We discuss the basis for the algorithm, its limitations, and usage of recently developed online and downloadable versions of the algorithm. |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 5% |
| Unknown | 21 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 36% |
| Student > Ph. D. Student | 5 | 23% |
| Professor > Associate Professor | 3 | 14% |
| Professor | 2 | 9% |
| Student > Master | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 9 | 41% |
| Agricultural and Biological Sciences | 7 | 32% |
| Neuroscience | 2 | 9% |
| Immunology and Microbiology | 1 | 5% |
| Computer Science | 1 | 5% |
| Other | 0 | 0% |
| Unknown | 2 | 9% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 May 2015.
All research outputs
#5,901,506
of 22,867,327 outputs
Outputs from Methods in molecular biology
#1,722
of 13,128 outputs
Outputs of similar age
#62,116
of 281,269 outputs
Outputs of similar age from Methods in molecular biology
#70
of 340 outputs
Altmetric has tracked 22,867,327 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 13,128 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 86% 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 281,269 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 340 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 78% of its contemporaries.