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Attention Score in Context
Chapter title |
Migration of PIP2 on KCNQ2 Surface Revealed by Molecular Dynamics Simulations
|
---|---|
Chapter number | 12 |
Book title |
Potassium Channels
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-7362-0_12 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7361-3, 978-1-4939-7362-0
|
Authors |
Qiansen Zhang, Huaiyu Yang |
Abstract |
Lipids and membrane proteins are the main components of cell membranes. Lipid-protein interactions are dynamic because these interactions typically occur on shallow protein surface clefts. Molecular dynamics (MD) simulations provide a tool for studying the dynamics of these interactions. Here, we describe the interactions of phosphatidylinositol-4,5-bisphosphate (PIP2) with both the open and closed states of a KCNQ2 channel. Through these methods, we show that a lipid can migrate between different binding sites in a protein and this migration modulates protein functions. |
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 % |
---|---|---|
United States | 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 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 1 | 33% |
Student > Doctoral Student | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 33% |
Linguistics | 1 | 33% |
Unknown | 1 | 33% |
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 24 October 2017.
All research outputs
#15,481,888
of 23,006,268 outputs
Outputs from Methods in molecular biology
#5,387
of 13,160 outputs
Outputs of similar age
#269,678
of 442,258 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,498 outputs
Altmetric has tracked 23,006,268 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,160 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 442,258 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.