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Estimating Loss to Follow-Up in HIV-Infected Patients on Antiretroviral Therapy: The Effect of the Competing Risk of Death in Zambia and Switzerland

Overview of attention for article published in PLOS ONE, December 2011
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Title
Estimating Loss to Follow-Up in HIV-Infected Patients on Antiretroviral Therapy: The Effect of the Competing Risk of Death in Zambia and Switzerland
Published in
PLOS ONE, December 2011
DOI 10.1371/journal.pone.0027919
Pubmed ID
Authors

Franziska Schöni-Affolter, Olivia Keiser, Albert Mwango, Jeffrey Stringer, Bruno Ledergerber, Lloyd Mulenga, Heiner C. Bucher, Andrew O. Westfall, Alexandra Calmy, Andrew Boulle, Namwinga Chintu, Matthias Egger, Benjamin H. Chi

Abstract

Loss to follow-up (LTFU) is common in antiretroviral therapy (ART) programmes. Mortality is a competing risk (CR) for LTFU; however, it is often overlooked in cohort analyses. We examined how the CR of death affected LTFU estimates in Zambia and Switzerland.

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

Geographical breakdown

Country Count As %
United States 3 2%
Indonesia 1 <1%
Switzerland 1 <1%
Malawi 1 <1%
France 1 <1%
Unknown 132 95%

Demographic breakdown

Readers by professional status Count As %
Researcher 30 22%
Student > Master 22 16%
Student > Ph. D. Student 18 13%
Other 9 6%
Student > Postgraduate 9 6%
Other 28 20%
Unknown 23 17%
Readers by discipline Count As %
Medicine and Dentistry 61 44%
Nursing and Health Professions 16 12%
Social Sciences 9 6%
Agricultural and Biological Sciences 8 6%
Mathematics 5 4%
Other 15 11%
Unknown 25 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 30 January 2012.
All research outputs
#17,654,408
of 22,661,413 outputs
Outputs from PLOS ONE
#146,212
of 193,502 outputs
Outputs of similar age
#190,915
of 242,887 outputs
Outputs of similar age from PLOS ONE
#2,089
of 2,917 outputs
Altmetric has tracked 22,661,413 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 193,502 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.0. This one is in the 20th percentile – i.e., 20% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 242,887 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 2,917 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.