↓ Skip to main content

CBD: a biomarker database for colorectal cancer

Overview of attention for article published in Database: The Journal of Biological Databases & Curation, May 2018
Altmetric Badge

Citations

dimensions_citation
48 Dimensions

Readers on

mendeley
41 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
CBD: a biomarker database for colorectal cancer
Published in
Database: The Journal of Biological Databases & Curation, May 2018
DOI 10.1093/database/bay046
Pubmed ID
Authors

Xueli Zhang, Xiao-Feng Sun, Yang Cao, Benchen Ye, Qiliang Peng, Xingyun Liu, Bairong Shen, Hong Zhang

Abstract

Colorectal cancer (CRC) biomarker database (CBD) was established based on 870 identified CRC biomarkers and their relevant information from 1115 original articles in PubMed published from 1986 to 2017. In this version of the CBD, CRC biomarker data were collected, sorted, displayed and analysed. The CBD with the credible contents as a powerful and time-saving tool provide more comprehensive and accurate information for further CRC biomarker research. The CBD was constructed under MySQL server. HTML, PHP and JavaScript languages have been used to implement the web interface. The Apache was selected as HTTP server. All of these web operations were implemented under the Windows system. The CBD could provide to users the multiple individual biomarker information and categorized into the biological category, source and application of biomarkers; the experiment methods, results, authors and publication resources; the research region, the average age of cohort, gender, race, the number of tumours, tumour location and stage. We only collect data from the articles with clear and credible results to prove the biomarkers are useful in the diagnosis, treatment or prognosis of CRC. The CBD can also provide a professional platform to researchers who are interested in CRC research to communicate, exchange their research ideas and further design high-quality research in CRC. They can submit their new findings to our database via the submission page and communicate with us in the CBD.Database URL: http://sysbio.suda.edu.cn/CBD/.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 41 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 7 17%
Student > Bachelor 7 17%
Researcher 4 10%
Student > Ph. D. Student 4 10%
Other 2 5%
Other 4 10%
Unknown 13 32%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 27%
Agricultural and Biological Sciences 5 12%
Medicine and Dentistry 5 12%
Pharmacology, Toxicology and Pharmaceutical Science 2 5%
Unspecified 1 2%
Other 4 10%
Unknown 13 32%