You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Large-Scale Interaction Profiling of Protein Domains Through Proteomic Peptide-Phage Display Using Custom Peptidomes
|
|---|---|
| Chapter number | 14 |
| Book title |
Small Molecule Microarrays
|
| Published in |
Methods in molecular biology, November 2016
|
| DOI | 10.1007/978-1-4939-6584-7_14 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6582-3, 978-1-4939-6584-7
|
| Authors |
Moon-Hyeong Seo, Satra Nim, Jouhyun Jeon, Philip M. Kim |
| Editors |
Mahesh Uttamchandani, Shao Q. Yao |
| Abstract |
Protein-protein interactions are essential to cellular functions and signaling pathways. We recently combined bioinformatics and custom oligonucleotide arrays to construct custom-made peptide-phage libraries for screening peptide-protein interactions, an approach we call proteomic peptide-phage display (ProP-PD). In this chapter, we describe protocols for phage display for the identification of natural peptide binders for a given protein. We finally describe deep sequencing for the analysis of the proteomic peptide-phage display. |
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 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 25% |
| Student > Ph. D. Student | 3 | 19% |
| Librarian | 1 | 6% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 5 | 31% |
| Agricultural and Biological Sciences | 2 | 13% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Arts and Humanities | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 4 | 25% |
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 16 January 2018.
All research outputs
#20,397,576
of 22,947,506 outputs
Outputs from Methods in molecular biology
#9,925
of 13,131 outputs
Outputs of similar age
#349,468
of 415,683 outputs
Outputs of similar age from Methods in molecular biology
#814
of 1,037 outputs
Altmetric has tracked 22,947,506 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 13,131 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 415,683 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 1,037 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.