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RCDB: Renal Cancer Gene Database

Overview of attention for article published in BMC Research Notes, May 2012
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Title
RCDB: Renal Cancer Gene Database
Published in
BMC Research Notes, May 2012
DOI 10.1186/1756-0500-5-246
Pubmed ID
Authors

Jayashree Ramana

Abstract

Renal cell carcinoma or RCC is one of the common and most lethal urological cancers, with 40% of the patients succumbing to death because of metastatic progression of the disease. Treatment of metastatic RCC remains highly challenging because of its resistance to chemotherapy as well as radiotherapy, besides surgical resection. Whereas RCC comprises tumors with differing histological types, clear cell RCC remains the most common. A major problem in the clinical management of patients presenting with localized ccRCC is the inability to determine tumor aggressiveness and accurately predict the risk of metastasis following surgery. As a measure to improve the diagnosis and prognosis of RCC, researchers have identified several molecular markers through a number of techniques. However the wealth of information available is scattered in literature and not easily amenable to data-mining. To reduce this gap, this work describes a comprehensive repository called Renal Cancer Gene Database, as an integrated gateway to study renal cancer related data.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 52 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 2%
Germany 1 2%
Unknown 50 96%

Demographic breakdown

Readers by professional status Count As %
Student > Master 12 23%
Student > Ph. D. Student 10 19%
Researcher 6 12%
Student > Doctoral Student 3 6%
Student > Bachelor 3 6%
Other 10 19%
Unknown 8 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 12 23%
Medicine and Dentistry 9 17%
Biochemistry, Genetics and Molecular Biology 8 15%
Engineering 4 8%
Immunology and Microbiology 3 6%
Other 6 12%
Unknown 10 19%