↓ Skip to main content

PLOS

Performance of the PointCare NOW System for CD4 Counting in HIV Patients Based on Five Independent Evaluations

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

Mentioned by

twitter
2 X users

Citations

dimensions_citation
20 Dimensions

Readers on

mendeley
68 Mendeley
Title
Performance of the PointCare NOW System for CD4 Counting in HIV Patients Based on Five Independent Evaluations
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0041166
Pubmed ID
Authors

Michèle Bergeron, Géraldine Daneau, Tao Ding, Nadia E. Sitoe, Larry E. Westerman, Jocelijn Stokx, Ilesh V. Jani, Lindi M. Coetzee, Lesley Scott, Anja De Weggheleire, Luc Boel, Wendy S. Stevens, Deborah K. Glencross, Trevor F. Peter

Abstract

Point-of-care (POC) CD4 testing can improve access to treatment by enabling decentralization and reducing patient loss-to-follow-up. As new POC CD4 technologies become available, their performance should be assessed before widespread deployment. This study reports the findings of five independent evaluations of the PointCare NOW CD4 system.

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users 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 68 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Kenya 1 1%
Australia 1 1%
South Africa 1 1%
Argentina 1 1%
United States 1 1%
Unknown 63 93%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 24%
Student > Master 12 18%
Student > Ph. D. Student 10 15%
Student > Postgraduate 5 7%
Student > Bachelor 4 6%
Other 10 15%
Unknown 11 16%
Readers by discipline Count As %
Medicine and Dentistry 25 37%
Agricultural and Biological Sciences 5 7%
Social Sciences 5 7%
Biochemistry, Genetics and Molecular Biology 4 6%
Engineering 4 6%
Other 9 13%
Unknown 16 24%