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Attention Score in Context
Chapter title |
DNA Organization and Superesolved Segregation
|
---|---|
Chapter number | 14 |
Book title |
Molecular Motors
|
Published in |
Methods in molecular biology, January 2018
|
DOI | 10.1007/978-1-4939-8556-2_14 |
Pubmed ID | |
Book ISBNs |
978-1-4939-8554-8, 978-1-4939-8556-2
|
Authors |
Diego I. Cattoni, Jean-Bernard Fiche, Antoine Le Gall, Marcelo Nollmann |
Abstract |
With single-molecule localization microscopy (SMLM) it is possible to reveal the internal composition, architecture, and dynamics of molecular machines and large cellular complexes. SMLM remains technically challenging, and frequently its implementation requires tailored experimental conditions that depend on the complexity of the subcellular structure of interest. Here, we describe two simple, robust, and high-throughput protocols to study molecular motors and machineries responsible for chromosome transport and organization in bacteria using 2D- and 3D-SMLM. |
X Demographics
The data shown below were collected from the profiles of 3 X users 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 | 3 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 67% |
Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 17% |
Professor | 2 | 17% |
Student > Bachelor | 1 | 8% |
Student > Ph. D. Student | 1 | 8% |
Professor > Associate Professor | 1 | 8% |
Other | 0 | 0% |
Unknown | 5 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 4 | 33% |
Biochemistry, Genetics and Molecular Biology | 2 | 17% |
Physics and Astronomy | 1 | 8% |
Unknown | 5 | 42% |
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 05 March 2019.
All research outputs
#15,539,088
of 23,094,276 outputs
Outputs from Methods in molecular biology
#5,411
of 13,207 outputs
Outputs of similar age
#270,134
of 442,658 outputs
Outputs of similar age from Methods in molecular biology
#596
of 1,499 outputs
Altmetric has tracked 23,094,276 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 13,207 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 442,658 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 1,499 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.