Big data in nephrology-a time to rethink

Research output: Contribution to journalReview article

1 Citation (Scopus)
Original languageEnglish (US)
Pages (from-to)1-3
Number of pages3
JournalNephrology Dialysis Transplantation
Volume33
Issue number1
DOIs
StatePublished - Jan 1 2018

Fingerprint

Nephrology

ASJC Scopus subject areas

  • Nephrology
  • Transplantation

Cite this

Big data in nephrology-a time to rethink. / Agarwal, Rajiv; Sinha, Arjun.

In: Nephrology Dialysis Transplantation, Vol. 33, No. 1, 01.01.2018, p. 1-3.

Research output: Contribution to journalReview article

@article{216bad17e392472eb19e97381a1b1dc9,
title = "Big data in nephrology-a time to rethink",
author = "Rajiv Agarwal and Arjun Sinha",
year = "2018",
month = "1",
day = "1",
doi = "10.1093/ndt/gfx330",
language = "English (US)",
volume = "33",
pages = "1--3",
journal = "Nephrology Dialysis Transplantation",
issn = "0931-0509",
publisher = "Oxford University Press",
number = "1",

}

TY - JOUR

T1 - Big data in nephrology-a time to rethink

AU - Agarwal, Rajiv

AU - Sinha, Arjun

PY - 2018/1/1

Y1 - 2018/1/1

UR - http://www.scopus.com/inward/record.url?scp=85040834270&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85040834270&partnerID=8YFLogxK

U2 - 10.1093/ndt/gfx330

DO - 10.1093/ndt/gfx330

M3 - Review article

VL - 33

SP - 1

EP - 3

JO - Nephrology Dialysis Transplantation

JF - Nephrology Dialysis Transplantation

SN - 0931-0509

IS - 1

ER -