↓ Skip to main content

The Mitotic Spindle

Overview of attention for book
Attention for Chapter 25: Anti-Microtubule Drugs.
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • High Attention Score compared to outputs of the same age and source (87th percentile)

Mentioned by

news
1 news outlet
twitter
2 X users

Citations

dimensions_citation
5 Dimensions

Readers on

mendeley
121 Mendeley
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.
Chapter title
Anti-Microtubule Drugs.
Chapter number 25
Book title
The Mitotic Spindle
Published in
Methods in molecular biology, January 2016
DOI 10.1007/978-1-4939-3542-0_25
Pubmed ID
Book ISBNs
978-1-4939-3540-6, 978-1-4939-3542-0
Authors

Stefan Florian, Timothy J. Mitchison, Florian, Stefan, Mitchison, Timothy J.

Editors

Paul Chang, Ryoma Ohi

Abstract

Small molecule drugs that target microtubules (MTs), many of them natural products, have long been important tools in the MT field. Indeed, tubulin (Tb) was discovered, in part, as the protein binding partner of colchicine. Several anti-MT drug classes also have important medical uses, notably colchicine, which is used to treat gout, familial Mediterranean fever (FMF), and pericarditis, and the vinca alkaloids and taxanes, which are used to treat cancer. Anti-MT drugs have in common that they bind specifically to Tb in the dimer, MT or some other form. However, their effects on polymerization dynamics and on the human body differ markedly. Here we briefly review the most-studied molecules, and comment on their uses in basic research and medicine. Our focus is on practical applications of different anti-MT drugs in the laboratory, and key points that users should be aware of when designing experiments. We also touch on interesting unsolved problems, particularly in the area of medical applications. In our opinion, the mechanism by which any MT drug cures or treats any disease is still unsolved, despite decades of research. Solving this problem for particular drug-disease combinations might open new uses for old drugs, or provide insights into novel routes for treatment.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 121 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 22 18%
Student > Master 17 14%
Researcher 16 13%
Student > Bachelor 11 9%
Professor 5 4%
Other 15 12%
Unknown 35 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 36 30%
Pharmacology, Toxicology and Pharmaceutical Science 12 10%
Agricultural and Biological Sciences 11 9%
Medicine and Dentistry 8 7%
Chemistry 4 3%
Other 14 12%
Unknown 36 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 04 October 2023.
All research outputs
#4,626,419
of 24,558,777 outputs
Outputs from Methods in molecular biology
#1,234
of 13,813 outputs
Outputs of similar age
#74,453
of 403,806 outputs
Outputs of similar age from Methods in molecular biology
#169
of 1,461 outputs
Altmetric has tracked 24,558,777 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,813 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 89% 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 403,806 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 1,461 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.