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A New Mouse Model for the Study of Human Breast Cancer Metastasis

Overview of attention for article published in PLOS ONE, October 2012
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (97th percentile)
  • High Attention Score compared to outputs of the same age and source (95th percentile)

Mentioned by

news
3 news outlets
blogs
1 blog
twitter
16 X users
patent
4 patents

Citations

dimensions_citation
124 Dimensions

Readers on

mendeley
408 Mendeley
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Title
A New Mouse Model for the Study of Human Breast Cancer Metastasis
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0047995
Pubmed ID
Authors

Elizabeth Iorns, Katherine Drews-Elger, Toby M. Ward, Sonja Dean, Jennifer Clarke, Deborah Berry, Dorraya El Ashry, Marc Lippman

Abstract

Breast cancer is the most common cancer in women, and this prevalence has a major impact on health worldwide. Localized breast cancer has an excellent prognosis, with a 5-year relative survival rate of 85%. However, the survival rate drops to only 23% for women with distant metastases. To date, the study of breast cancer metastasis has been hampered by a lack of reliable metastatic models. Here we describe a novel in vivo model using human breast cancer xenografts in NOD scid gamma (NSG) mice; in this model human breast cancer cells reliably metastasize to distant organs from primary tumors grown within the mammary fat pad. This model enables the study of the entire metastatic process from the proper anatomical site, providing an important new approach to examine the mechanisms underlying breast cancer metastasis. We used this model to identify gene expression changes that occur at metastatic sites relative to the primary mammary fat pad tumor. By comparing multiple metastatic sites and independent cell lines, we have identified several gene expression changes that may be important for tumor growth at distant sites.

X Demographics

X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 408 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 8 2%
Germany 2 <1%
Netherlands 2 <1%
United Kingdom 2 <1%
Spain 1 <1%
Kenya 1 <1%
Unknown 392 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 94 23%
Researcher 79 19%
Student > Master 52 13%
Student > Doctoral Student 32 8%
Student > Bachelor 29 7%
Other 56 14%
Unknown 66 16%
Readers by discipline Count As %
Agricultural and Biological Sciences 116 28%
Biochemistry, Genetics and Molecular Biology 100 25%
Medicine and Dentistry 35 9%
Engineering 23 6%
Pharmacology, Toxicology and Pharmaceutical Science 20 5%
Other 40 10%
Unknown 74 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 45. 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 04 April 2024.
All research outputs
#846,848
of 23,948,870 outputs
Outputs from PLOS ONE
#11,447
of 204,476 outputs
Outputs of similar age
#4,754
of 186,242 outputs
Outputs of similar age from PLOS ONE
#207
of 4,897 outputs
Altmetric has tracked 23,948,870 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 204,476 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.5. This one has done particularly well, scoring higher than 94% 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 186,242 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 97% of its contemporaries.
We're also able to compare this research output to 4,897 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 95% of its contemporaries.