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
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. |
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 % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 42 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 13 | 31% |
Researcher | 9 | 21% |
Student > Bachelor | 4 | 10% |
Student > Doctoral Student | 4 | 10% |
Professor | 3 | 7% |
Other | 5 | 12% |
Unknown | 4 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 12 | 29% |
Biochemistry, Genetics and Molecular Biology | 11 | 26% |
Medicine and Dentistry | 6 | 14% |
Chemistry | 3 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
Other | 2 | 5% |
Unknown | 7 | 17% |
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
#7,960,512
of 25,374,647 outputs
Outputs from Breast Cancer Research
#902
of 2,053 outputs
Outputs of similar age
#64,402
of 209,225 outputs
Outputs of similar age from Breast Cancer Research
#10
of 25 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 2,053 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.2. This one has gotten more attention than average, scoring higher than 54% 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 209,225 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 67% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.