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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Imaging and Quantifying the Dynamics of γ-Tubulin at Microtubule Minus Ends in Mitotic Spindles.
|
|---|---|
| Chapter number | 5 |
| Book title |
The Mitotic Spindle
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-3542-0_5 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-3540-6, 978-1-4939-3542-0
|
| Authors |
Nicolas Lecland, Jens Lüders |
| Editors |
Paul Chang, Ryoma Ohi |
| Abstract |
Understanding the organization of complex microtubule arrays such as the mitotic spindle requires information about the position and dynamics of microtubule plus and minus ends. Whereas plus end dynamics have been widely studied using markers such as EB1-GFP, much less is known about the dynamic properties of minus ends, in part because a suitable marker has only recently become available. Here we describe the use of photoactivatable γ-tubulin-paGFP to image and quantify the dynamics of microtubule minus ends in mitotic spindles. |
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 % |
|---|---|---|
| Japan | 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 > Bachelor | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Student > Master | 2 | 20% |
| Researcher | 2 | 20% |
| Professor > Associate Professor | 1 | 10% |
| Other | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 60% |
| Agricultural and Biological Sciences | 3 | 30% |
| Physics and Astronomy | 1 | 10% |
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 09 December 2017.
All research outputs
#20,332,117
of 22,876,619 outputs
Outputs from Methods in molecular biology
#9,917
of 13,131 outputs
Outputs of similar age
#330,742
of 393,697 outputs
Outputs of similar age from Methods in molecular biology
#1,054
of 1,471 outputs
Altmetric has tracked 22,876,619 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 393,697 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 1,471 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.