Article
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Attention Score in Context
| Chapter title |
Protocols for the Study of Taxanes Chemosensitivity in Prostate Cancer
|
|---|---|
| Book title |
Prostate Cancer
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7845-8_9 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7843-4, 978-1-4939-7845-8
|
| Authors |
M. Luz Flores, Carmen Sáez |
| Abstract |
Prostate cancer is major cause of cancer-related death among men in Western countries. Locally advanced prostate cancers are treated with castration therapy, which is initially effective, but after months the disease progresses to a hormone-refractory state whose treatment is chemotherapy based on taxanes. Although taxanes improve the survival of patients with castration-resistant prostate cancers, these patients often develop chemotherapy resistance, and new therapeutic strategies are necessary. Taxanes exert their action through interaction with β-tubulin which triggers cell cycle arrest in mitosis and the subsequent induction of the intrinsic apoptotic pathway. Since taxanes are widely used for the treatment of advanced prostate cancers, we present in this chapter protocols that allow the study of the prostate cancer sensitivity as well as determine the mechanisms of resistance to these chemotherapeutic agents. |
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 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 5 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 60% |
| Student > Postgraduate | 1 | 20% |
| Researcher | 1 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 2 | 40% |
| Agricultural and Biological Sciences | 2 | 40% |
| Computer Science | 1 | 20% |
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 23 May 2018.
All research outputs
#20,504,518
of 23,070,218 outputs
Outputs from Methods in molecular biology
#9,973
of 13,198 outputs
Outputs of similar age
#378,350
of 442,525 outputs
Outputs of similar age from Methods in molecular biology
#1,194
of 1,499 outputs
Altmetric has tracked 23,070,218 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 13,198 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 442,525 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 1,499 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.