↓ Skip to main content

Genotyping panel for assessing response to cancer chemotherapy

Overview of attention for article published in BMC Medical Genomics, June 2008
Altmetric Badge

Mentioned by

twitter
1 tweeter
video
1 video uploader

Citations

dimensions_citation
25 Dimensions

Readers on

mendeley
72 Mendeley
citeulike
1 CiteULike
connotea
1 Connotea
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.
Title
Genotyping panel for assessing response to cancer chemotherapy
Published in
BMC Medical Genomics, June 2008
DOI 10.1186/1755-8794-1-24
Pubmed ID
Authors

Zunyan Dai, Audrey C Papp, Danxin Wang, Heather Hampel, Wolfgang Sadee

Abstract

Variants in numerous genes are thought to affect the success or failure of cancer chemotherapy. Interindividual variability can result from genes involved in drug metabolism and transport, drug targets (receptors, enzymes, etc), and proteins relevant to cell survival (e.g., cell cycle, DNA repair, and apoptosis). The purpose of the current study is to establish a flexible, cost-effective, high-throughput genotyping platform for candidate genes involved in chemoresistance and -sensitivity, and treatment outcomes.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Uruguay 1 1%
Morocco 1 1%
Spain 1 1%
United States 1 1%
Poland 1 1%
Unknown 67 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 15 21%
Student > Master 13 18%
Student > Ph. D. Student 12 17%
Student > Postgraduate 7 10%
Professor > Associate Professor 6 8%
Other 15 21%
Unknown 4 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 49%
Medicine and Dentistry 16 22%
Biochemistry, Genetics and Molecular Biology 8 11%
Pharmacology, Toxicology and Pharmaceutical Science 2 3%
Computer Science 2 3%
Other 3 4%
Unknown 6 8%

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 10 April 2019.
All research outputs
#17,656,184
of 22,663,969 outputs
Outputs from BMC Medical Genomics
#785
of 1,211 outputs
Outputs of similar age
#74,907
of 81,833 outputs
Outputs of similar age from BMC Medical Genomics
#8
of 8 outputs
Altmetric has tracked 22,663,969 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,211 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 29th percentile – i.e., 29% 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 81,833 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 7th percentile – i.e., 7% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.