↓ Skip to main content

PLOS

Antibody to Epstein-Barr Virus Deoxyuridine Triphosphate Nucleotidohydrolase and Deoxyribonucleotide Polymerase in a Chronic Fatigue Syndrome Subset

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

Mentioned by

policy
1 policy source
twitter
36 X users
patent
1 patent
facebook
13 Facebook pages
pinterest
1 Pinner

Readers on

mendeley
48 Mendeley
Title
Antibody to Epstein-Barr Virus Deoxyuridine Triphosphate Nucleotidohydrolase and Deoxyribonucleotide Polymerase in a Chronic Fatigue Syndrome Subset
Published in
PLOS ONE, November 2012
DOI 10.1371/journal.pone.0047891
Pubmed ID
Authors

A. Martin Lerner, Maria E. Ariza, Marshall Williams, Leonard Jason, Safedin Beqaj, James T. Fitzgerald, Stanley Lemeshow, Ronald Glaser

Abstract

A defined diagnostic panel differentiated patients who had been diagnosed with chronic fatigue syndrome (CFS), based upon Fukuda/Carruthers criteria. This diagnostic panel identified an Epstein-Barr virus (EBV) subset of patients (6), excluding for the first time other similar "clinical" conditions such as cytomegalovirus (CMV), human herpesvirus 6 (HHV6), babesiosis, ehrlichiosis, borreliosis, Mycoplasma pneumoniae, Chlamydia pneumoniae, and adult rheumatic fever, which may be mistakenly called CFS. CFS patients were treated with valacyclovir (14.3 mg/kg q6h) for ≥ 12 months. Each patient improved, based upon the Functional Activity Appraisal: Energy Index Score Healthcare Worker Assessment (EIPS), which is a validated (FSS-9), item scale with high degree of internal consistency measured by Cronbach's alpha.

X Demographics

X Demographics

The data shown below were collected from the profiles of 36 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 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 2%
Unknown 47 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 8 17%
Student > Master 5 10%
Student > Bachelor 5 10%
Student > Ph. D. Student 4 8%
Student > Doctoral Student 3 6%
Other 11 23%
Unknown 12 25%
Readers by discipline Count As %
Medicine and Dentistry 10 21%
Agricultural and Biological Sciences 10 21%
Nursing and Health Professions 4 8%
Immunology and Microbiology 4 8%
Biochemistry, Genetics and Molecular Biology 2 4%
Other 6 13%
Unknown 12 25%