↓ Skip to main content

PLOS

Downregulation of Six MicroRNAs Is Associated with Advanced Stage, Lymph Node Metastasis and Poor Prognosis in Small Cell Carcinoma of the Cervix

Overview of attention for article published in PLOS ONE, March 2012
Altmetric Badge

Mentioned by

twitter
1 X user

Citations

dimensions_citation
114 Dimensions

Readers on

mendeley
60 Mendeley
Title
Downregulation of Six MicroRNAs Is Associated with Advanced Stage, Lymph Node Metastasis and Poor Prognosis in Small Cell Carcinoma of the Cervix
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0033762
Pubmed ID
Authors

Long Huang, Jia-Xin Lin, Yan-Hong Yu, Mei-Yin Zhang, Hui-Yun Wang, Min Zheng

Abstract

Small cell carcinoma of the cervix (SCCC) is very rare, and due to the long time period required to recruit sufficient numbers of patients, there is a paucity of information regarding the prognostic factors associated with survival. MicroRNAs (miRNAs) have been used as cancer-related biomarkers in a variety of tumor types, and the objective of this study was to determine whether microRNA expression profiles can predict clinical outcome in SCCC.

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 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 1 2%
India 1 2%
Denmark 1 2%
Unknown 57 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 15%
Researcher 9 15%
Student > Master 9 15%
Student > Bachelor 9 15%
Other 3 5%
Other 9 15%
Unknown 12 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 17 28%
Agricultural and Biological Sciences 12 20%
Medicine and Dentistry 12 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 2%
Business, Management and Accounting 1 2%
Other 4 7%
Unknown 13 22%