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Characterization of the tumor marker muc16 (ca125) expressed by murine ovarian tumor cell lines and identification of a panel of cross-reactive monoclonal antibodies

Overview of attention for article published in Journal of Ovarian Research, June 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 (73rd percentile)

Mentioned by

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1 patent
wikipedia
1 Wikipedia page

Citations

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20 Dimensions

Readers on

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49 Mendeley
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Title
Characterization of the tumor marker muc16 (ca125) expressed by murine ovarian tumor cell lines and identification of a panel of cross-reactive monoclonal antibodies
Published in
Journal of Ovarian Research, June 2009
DOI 10.1186/1757-2215-2-8
Pubmed ID
Authors

Cara AR Goodell, Jennifer A Belisle, Jennifer AA Gubbels, Martine Migneault, Claudine Rancourt, Joseph Connor, Muthusamy Kunnimalaiyaan, Rachel Kravitz, Ward Tucker, Michael Zwick, Manish S Patankar

Abstract

The ovarian tumor marker CA125 is expressed on human MUC16, a cell surface bound mucin that is also shed by proteolytic cleavage. Human MUC16 is overexpressed by ovarian cancer cells. MUC16 facilitates the binding of ovarian tumor cells to mesothelial cells lining the peritoneal cavity. Additionally, MUC16 also is a potent inhibitor of natural killer cell mediated anti-tumor cytotoxic responses. Extensive studies using human as well as murine ovarian tumor cell models are required to clearly define the function of MUC16 in the progression of ovarian tumors. The major objective of this study was to determine if the murine ovarian tumor cells, MOVCAR, express Muc16 and to characterize antibodies that recognize this mucin.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 49 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 17 35%
Student > Ph. D. Student 9 18%
Student > Doctoral Student 5 10%
Student > Bachelor 4 8%
Student > Master 4 8%
Other 7 14%
Unknown 3 6%
Readers by discipline Count As %
Agricultural and Biological Sciences 15 31%
Medicine and Dentistry 10 20%
Biochemistry, Genetics and Molecular Biology 7 14%
Immunology and Microbiology 4 8%
Chemistry 3 6%
Other 5 10%
Unknown 5 10%
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 08 July 2021.
All research outputs
#4,695,422
of 22,785,242 outputs
Outputs from Journal of Ovarian Research
#69
of 585 outputs
Outputs of similar age
#20,334
of 110,659 outputs
Outputs of similar age from Journal of Ovarian Research
#1
of 1 outputs
Altmetric has tracked 22,785,242 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 585 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 87% 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 110,659 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 73% of its contemporaries.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them