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Multiple Lineages of Human Breast Cancer Stem/Progenitor Cells Identified by Profiling with Stem Cell Markers

Overview of attention for article published in PLOS ONE, December 2009
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • Above-average Attention Score compared to outputs of the same age and source (60th percentile)

Mentioned by

patent
3 patents

Citations

dimensions_citation
191 Dimensions

Readers on

mendeley
204 Mendeley
connotea
1 Connotea
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Title
Multiple Lineages of Human Breast Cancer Stem/Progenitor Cells Identified by Profiling with Stem Cell Markers
Published in
PLOS ONE, December 2009
DOI 10.1371/journal.pone.0008377
Pubmed ID
Authors

Wendy W. Hwang-Verslues, Wen-Hung Kuo, Po-Hao Chang, Chi-Chun Pan, Hsing-Hui Wang, Sheng-Ta Tsai, Yung-Ming Jeng, Jin-Yu Shew, John T. Kung, Chung-Hsuan Chen, Eva Y.-H. P. Lee, King-Jen Chang, Wen-Hwa Lee

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 1%
Spain 2 <1%
India 1 <1%
United Kingdom 1 <1%
Brazil 1 <1%
Russia 1 <1%
Portugal 1 <1%
Japan 1 <1%
Canada 1 <1%
Other 0 0%
Unknown 192 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 49 24%
Student > Ph. D. Student 45 22%
Student > Master 26 13%
Student > Doctoral Student 16 8%
Student > Bachelor 14 7%
Other 37 18%
Unknown 17 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 84 41%
Biochemistry, Genetics and Molecular Biology 43 21%
Medicine and Dentistry 32 16%
Engineering 5 2%
Immunology and Microbiology 4 2%
Other 12 6%
Unknown 24 12%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 6. 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 05 February 2019.
All research outputs
#4,761,657
of 23,039,416 outputs
Outputs from PLOS ONE
#65,718
of 196,427 outputs
Outputs of similar age
#27,332
of 165,309 outputs
Outputs of similar age from PLOS ONE
#202
of 604 outputs
Altmetric has tracked 23,039,416 research outputs across all sources so far. Compared to these this one has done well and is in the 76th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 196,427 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has gotten more attention than average, scoring higher than 65% 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 165,309 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 604 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 60% of its contemporaries.