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Mendeley readers
Attention Score in Context
Chapter title |
Using Single-Protein Tracking to Study Cell Migration
|
---|---|
Chapter number | 21 |
Book title |
Cell Migration
|
Published in |
Methods in molecular biology, March 2018
|
DOI | 10.1007/978-1-4939-7701-7_21 |
Pubmed ID | |
Book ISBNs |
978-1-4939-7700-0, 978-1-4939-7701-7
|
Authors |
Thomas Orré, Amine Mehidi, Sophie Massou, Olivier Rossier, Grégory Giannone, Orré, Thomas, Mehidi, Amine, Massou, Sophie, Rossier, Olivier, Giannone, Grégory |
Abstract |
To get a complete understanding of cell migration, it is critical to study its orchestration at the molecular level. Since the recent developments in single-molecule imaging, it is now possible to study molecular phenomena at the single-molecule level inside living cells. In this chapter, we describe how such approaches have been and can be used to decipher molecular mechanisms involved in cell migration. |
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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 17 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 4 | 24% |
Student > Ph. D. Student | 2 | 12% |
Other | 1 | 6% |
Student > Master | 1 | 6% |
Professor > Associate Professor | 1 | 6% |
Other | 0 | 0% |
Unknown | 8 | 47% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 7 | 41% |
Agricultural and Biological Sciences | 1 | 6% |
Physics and Astronomy | 1 | 6% |
Unknown | 8 | 47% |
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 March 2018.
All research outputs
#20,468,008
of 23,026,672 outputs
Outputs from Methods in molecular biology
#9,951
of 13,170 outputs
Outputs of similar age
#293,879
of 332,625 outputs
Outputs of similar age from Methods in molecular biology
#56
of 64 outputs
Altmetric has tracked 23,026,672 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 13,170 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 332,625 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 64 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.