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Importance of MUC1 and spontaneous mouse tumor models for understanding the immunobiology of human adenocarcinomas

Overview of attention for article published in Immunologic Research, June 2011
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Title
Importance of MUC1 and spontaneous mouse tumor models for understanding the immunobiology of human adenocarcinomas
Published in
Immunologic Research, June 2011
DOI 10.1007/s12026-011-8214-1
Pubmed ID
Authors

Olivera J. Finn, Kira R. Gantt, Andrew J. Lepisto, Sharmila Pejawar-Gaddy, Jia Xue, Pamela L. Beatty

Abstract

Many important aspects of cancer biology, such as cancer initiation, progression, and metastasis, have been studied in animal models, mostly mice. As long as cancer was considered primarily a genetic disease, the study of transplantable mouse tumors, or even human tumor xenografts in immunocompromised mice, appeared to suffice. Many important genetic events that lead to transformation and in vivo tumor growth were elucidated. However, many even more important factors that determine whether or not the genetic potential of a tumor cell will be realized, such as the host response to the tumor and the tumor microenvironment that influences this response over a long period of time of tumor development, remained untested and unappreciated. This is slowly changing with the advent of molecular techniques that have spurred efforts to engineer better mouse models of human tumors. In this review, we show results of our efforts to combine a genetic mouse model of spontaneous human adenocarcinomas based on a Kras mutation, with an important human molecule MUC1 that is abnormally expressed on human adenocarcinomas, promoting oncogenesis, proinflammatory tumor microenvironment, and immunosurveillance.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 13 28%
Researcher 11 24%
Student > Master 6 13%
Student > Bachelor 5 11%
Professor 2 4%
Other 4 9%
Unknown 5 11%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 14 30%
Agricultural and Biological Sciences 11 24%
Chemistry 5 11%
Immunology and Microbiology 4 9%
Medicine and Dentistry 4 9%
Other 3 7%
Unknown 5 11%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 02 August 2011.
All research outputs
#20,194,150
of 22,711,242 outputs
Outputs from Immunologic Research
#757
of 905 outputs
Outputs of similar age
#106,454
of 115,089 outputs
Outputs of similar age from Immunologic Research
#10
of 10 outputs
Altmetric has tracked 22,711,242 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 905 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.0. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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 115,089 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
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