You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Chapter title |
Fission Yeast Cell Cycle Synchronization Methods.
|
---|---|
Chapter number | 20 |
Book title |
Yeast Cytokinesis
|
Published in |
Methods in molecular biology, January 2016
|
DOI | 10.1007/978-1-4939-3145-3_20 |
Pubmed ID | |
Book ISBNs |
978-1-4939-3144-6, 978-1-4939-3145-3
|
Authors |
Tormos-Pérez, Marta, Pérez-Hidalgo, Livia, Moreno, Sergio, Marta Tormos-Pérez, Livia Pérez-Hidalgo, Sergio Moreno |
Editors |
Alberto Sanchez-Diaz, Pilar Perez |
Abstract |
Fission yeast cells can be synchronized by cell cycle arrest and release or by size selection. Cell cycle arrest synchronization is based on the block and release of temperature-sensitive cell cycle mutants or treatment with drugs. The most widely used approaches are cdc10-129 for G1; hydroxyurea (HU) for early S-phase; cdc25-22 for G2, and nda3-KM311 for mitosis. Cells can also be synchronized by size selection using centrifugal elutriation or a lactose gradient. Here we describe the methods most commonly used to synchronize fission yeast cells. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 32 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 5 | 16% |
Researcher | 5 | 16% |
Student > Master | 4 | 13% |
Student > Ph. D. Student | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 3 | 9% |
Unknown | 10 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 15 | 47% |
Agricultural and Biological Sciences | 2 | 6% |
Chemical Engineering | 1 | 3% |
Medicine and Dentistry | 1 | 3% |
Neuroscience | 1 | 3% |
Other | 0 | 0% |
Unknown | 12 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 18 March 2023.
All research outputs
#6,384,750
of 23,556,846 outputs
Outputs from Methods in molecular biology
#1,902
of 13,398 outputs
Outputs of similar age
#99,914
of 396,990 outputs
Outputs of similar age from Methods in molecular biology
#222
of 1,472 outputs
Altmetric has tracked 23,556,846 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 13,398 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 85% of its peers.
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 396,990 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 74% of its contemporaries.
We're also able to compare this research output to 1,472 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.