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Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery

Overview of attention for article published in PLOS ONE, July 2009
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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 (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

news
1 news outlet
patent
5 patents
wikipedia
2 Wikipedia pages

Citations

dimensions_citation
614 Dimensions

Readers on

mendeley
1074 Mendeley
citeulike
5 CiteULike
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Title
Molecular Profiling of Breast Cancer Cell Lines Defines Relevant Tumor Models and Provides a Resource for Cancer Gene Discovery
Published in
PLOS ONE, July 2009
DOI 10.1371/journal.pone.0006146
Pubmed ID
Authors

Jessica Kao, Keyan Salari, Melanie Bocanegra, Yoon-La Choi, Luc Girard, Jeet Gandhi, Kevin A. Kwei, Tina Hernandez-Boussard, Pei Wang, Adi F. Gazdar, John D. Minna, Jonathan R. Pollack

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 1,074 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 16 1%
United Kingdom 8 <1%
India 5 <1%
France 4 <1%
Germany 4 <1%
Brazil 4 <1%
Spain 3 <1%
Japan 3 <1%
Netherlands 3 <1%
Other 24 2%
Unknown 1000 93%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 249 23%
Researcher 237 22%
Student > Master 129 12%
Student > Bachelor 97 9%
Student > Doctoral Student 55 5%
Other 168 16%
Unknown 139 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 394 37%
Biochemistry, Genetics and Molecular Biology 238 22%
Medicine and Dentistry 116 11%
Pharmacology, Toxicology and Pharmaceutical Science 39 4%
Chemistry 23 2%
Other 102 9%
Unknown 162 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 19. 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 October 2022.
All research outputs
#1,689,575
of 23,506,079 outputs
Outputs from PLOS ONE
#21,583
of 201,319 outputs
Outputs of similar age
#5,401
of 111,365 outputs
Outputs of similar age from PLOS ONE
#72
of 514 outputs
Altmetric has tracked 23,506,079 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 201,319 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.3. 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 111,365 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 514 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.