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Development of a screen to identify selective small molecules active against patient-derived metastatic and chemoresistant breast cancer cells

Overview of attention for article published in Breast Cancer Research, July 2013
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

Mentioned by

twitter
1 tweeter
patent
2 patents
facebook
1 Facebook page

Citations

dimensions_citation
15 Dimensions

Readers on

mendeley
40 Mendeley
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Title
Development of a screen to identify selective small molecules active against patient-derived metastatic and chemoresistant breast cancer cells
Published in
Breast Cancer Research, July 2013
DOI 10.1186/bcr3452
Pubmed ID
Authors

Keith M Gligorich, Rachel M Vaden, Dawne N Shelton, Guoying Wang, Cindy B Matsen, Ryan E Looper, Matthew S Sigman, Bryan E Welm

Abstract

High failure rates of new investigational drugs have impaired the development of breast cancer therapies. One challenge is that excellent activity in preclinical models, such as established cancer cell lines, does not always translate into improved clinical outcomes for patients. New preclinical models, which better replicate clinically-relevant attributes of cancer, such as chemoresistance, metastasis and cellular heterogeneity, may identify novel anti-cancer mechanisms and increase the success of drug development.

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 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 40 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 14 35%
Researcher 9 23%
Student > Doctoral Student 4 10%
Professor 3 8%
Student > Bachelor 3 8%
Other 5 13%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 30%
Biochemistry, Genetics and Molecular Biology 10 25%
Medicine and Dentistry 7 18%
Chemistry 3 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 3%
Other 2 5%
Unknown 5 13%

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 11 January 2018.
All research outputs
#5,235,665
of 17,367,552 outputs
Outputs from Breast Cancer Research
#700
of 1,706 outputs
Outputs of similar age
#86,183
of 314,164 outputs
Outputs of similar age from Breast Cancer Research
#9
of 39 outputs
Altmetric has tracked 17,367,552 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 1,706 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.3. This one has gotten more attention than average, scoring higher than 57% 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 314,164 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 71% of its contemporaries.
We're also able to compare this research output to 39 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.