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Overexpression of FOXM1 predicts poor prognosis and promotes cancer cell proliferation, migration and invasion in epithelial ovarian cancer

Overview of attention for article published in Journal of Translational Medicine, May 2014
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  • Good Attention Score compared to outputs of the same age (67th percentile)
  • Good Attention Score compared to outputs of the same age and source (67th percentile)

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1 X user
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1 patent

Citations

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77 Dimensions

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45 Mendeley
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Title
Overexpression of FOXM1 predicts poor prognosis and promotes cancer cell proliferation, migration and invasion in epithelial ovarian cancer
Published in
Journal of Translational Medicine, May 2014
DOI 10.1186/1479-5876-12-134
Pubmed ID
Authors

Ning Wen, Yu Wang, Li Wen, Shu-Hua Zhao, Zhen-Hua Ai, Yi Wang, Bo Wu, Huai-Xiu Lu, Hong Yang, Wen-Chao Liu, Yu Li

Abstract

The Forkhead box M1 (FOXM1), an important regulator of cell differentiation and proliferation, is overexpressed in a number of aggressive human carcinomas. The purpose of this study was to examine the expression levels of FOXM1 in epithelial ovarian cancer (EOC), to identify the relationship between FOXM1 expression and patient survival, and to investigate the role of FOXM1 in human ovarian cancer development.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 45 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 20%
Student > Master 6 13%
Researcher 5 11%
Student > Postgraduate 4 9%
Student > Bachelor 2 4%
Other 4 9%
Unknown 15 33%
Readers by discipline Count As %
Medicine and Dentistry 9 20%
Agricultural and Biological Sciences 9 20%
Biochemistry, Genetics and Molecular Biology 8 18%
Unspecified 1 2%
Neuroscience 1 2%
Other 1 2%
Unknown 16 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 18 April 2019.
All research outputs
#8,262,107
of 25,374,647 outputs
Outputs from Journal of Translational Medicine
#1,413
of 4,635 outputs
Outputs of similar age
#76,090
of 240,001 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 103 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 4,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one has gotten more attention than average, scoring higher than 67% 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 240,001 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 67% of its contemporaries.
We're also able to compare this research output to 103 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 67% of its contemporaries.