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Validation of a single-platform, volumetric, flow cytometry for CD4 T cell count monitoring in therapeutic mobile unit

Overview of attention for article published in Journal of Translational Medicine, February 2012
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51 Mendeley
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Title
Validation of a single-platform, volumetric, flow cytometry for CD4 T cell count monitoring in therapeutic mobile unit
Published in
Journal of Translational Medicine, February 2012
DOI 10.1186/1479-5876-10-22
Pubmed ID
Authors

François-Xavier Mbopi-Kéou, Bertrand Sagnia, Jeanne Ngogang, Fru F Angwafo III, Vittorio Colizzi, Luc Montagnier, Laurent Bélec

Abstract

A mobile health unit may be useful to follow up adult and pediatric patients on antiretroviral treatment and living in remote areas devoid of laboratory facilities. The study evaluated the use of the simplified, robust, single-plateform, volumetric, pan-leucogating Auto40 flow cytometer (Apogee Flow Systems Ltd, Hemel Hempstead, UK) for CD4 T cell numeration in a mobile unit, compared against a reference flow cytometry method.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 11 22%
Other 6 12%
Student > Bachelor 5 10%
Student > Ph. D. Student 5 10%
Researcher 4 8%
Other 9 18%
Unknown 11 22%
Readers by discipline Count As %
Medicine and Dentistry 8 16%
Nursing and Health Professions 8 16%
Agricultural and Biological Sciences 6 12%
Economics, Econometrics and Finance 2 4%
Unspecified 2 4%
Other 8 16%
Unknown 17 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 04 March 2012.
All research outputs
#14,142,788
of 22,662,201 outputs
Outputs from Journal of Translational Medicine
#1,765
of 3,954 outputs
Outputs of similar age
#153,615
of 247,832 outputs
Outputs of similar age from Journal of Translational Medicine
#28
of 50 outputs
Altmetric has tracked 22,662,201 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,954 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% of its peers.
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 247,832 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 50 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.