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Attention Score in Context
Chapter title |
Fluorescence to study the ATPase mechanism of motor proteins.
|
---|---|
Chapter number | 4 |
Book title |
Fluorescent Methods for Molecular Motors
|
Published in |
EXS, August 2014
|
DOI | 10.1007/978-3-0348-0856-9_4 |
Pubmed ID | |
Book ISBNs |
978-3-03-480855-2, 978-3-03-480856-9
|
Authors |
Toseland CP, Christopher P. Toseland |
Abstract |
This chapter provides an overview of different methodologies to dissect the ATPase mechanism of motor proteins. The use of ATP is fundamental to how these molecular engines work and how they can use the energy to perform various cellular roles. Rapid reaction and single-molecule techniques will be discussed to monitor reactions in real time through the application of fluorescence intensity, anisotropy and FRET. These approaches utilise fluorescent nucleotides and biosensors. While not every technique may be suitable for your motor protein, the different ways to determine the ATPase mechanism should allow a good evaluation of the kinetic parameters. |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 10 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Student > Bachelor | 1 | 10% |
Researcher | 1 | 10% |
Student > Doctoral Student | 1 | 10% |
Unknown | 4 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 4 | 40% |
Agricultural and Biological Sciences | 2 | 20% |
Unknown | 4 | 40% |
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 15 October 2014.
All research outputs
#20,239,689
of 22,766,595 outputs
Outputs from EXS
#82
of 93 outputs
Outputs of similar age
#193,900
of 230,511 outputs
Outputs of similar age from EXS
#1
of 4 outputs
Altmetric has tracked 22,766,595 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 93 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.9. 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 230,511 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 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them