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Attention Score in Context
Chapter title |
Characterizing Protein-Protein Interactions Using Deep Sequencing Coupled to Yeast Surface Display
|
---|---|
Chapter number | 7 |
Book title |
Protein Complex Assembly
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7759-8_7 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7758-1, 978-1-4939-7759-8
|
Authors |
Angelica V. Medina-Cucurella, Timothy A. Whitehead |
Abstract |
In this chapter, we discuss a method to determine the affinity and specificity of nearly all single-point mutants for a full-length protein binder. This method combines deep sequencing, comprehensive mutagenesis, yeast surface display, and fluorescence-activated cell sorting. This approach has been used to study sequence-function relationships for protein-protein interactions. The data can be used to determine the fine conformational epitope on the protein binder. |
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 % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 43 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 14 | 33% |
Researcher | 8 | 19% |
Student > Bachelor | 3 | 7% |
Student > Doctoral Student | 2 | 5% |
Other | 2 | 5% |
Other | 5 | 12% |
Unknown | 9 | 21% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 11 | 26% |
Chemical Engineering | 8 | 19% |
Computer Science | 3 | 7% |
Agricultural and Biological Sciences | 3 | 7% |
Immunology and Microbiology | 2 | 5% |
Other | 6 | 14% |
Unknown | 10 | 23% |
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 02 April 2018.
All research outputs
#20,472,403
of 23,031,582 outputs
Outputs from Methods in molecular biology
#9,955
of 13,177 outputs
Outputs of similar age
#378,224
of 442,391 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,031,582 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 13,177 research outputs from this source. They receive a mean Attention Score of 3.4. 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 442,391 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 1,499 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.