| Title |
Commentary: Identification of Low-Level Vancomycin Resistance in Staphylococcus aureus in the Era of Informatics
|
|---|---|
| Published in |
Journal of Clinical Microbiology, February 2016
|
| DOI | 10.1128/jcm.00071-16 |
| Pubmed ID | |
| Authors | |
| Abstract |
Vancomycin-intermediate Staphylococcus aureus (VISA) and heteroresistant VISA (hVISA) are pathogens for which accurate antimicrobial susceptibility testing (AST) would rule out standard treatment with vancomycin. Unfortunately, AST for vancomycin is relatively slow and standard methods are unable to reliably detect VISA and hVISA. An article in this issue of the Journal of Clinical Microbiology (C. A. Mather, B. J. Werth, D. J. SenGupta, S. Sivagnanam, and S. M. Butler-Wu; J Clin Microbiol XX:XX-XX, 2016, http://dx.doi.org/10.1128/JCM.02428-15) describes a rapid whole-cell matrix-assisted laser desorption ionization time-of-flight (MALDI-TOF) proxy-susceptibility method that highlights current innovations and challenges with rapid AST, VISA/hVISA identification, and clinical bioinformatics. |
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X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 17% |
| Kuwait | 1 | 17% |
| Nigeria | 1 | 17% |
| United States | 1 | 17% |
| Unknown | 2 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 17% |
| Scientists | 1 | 17% |
Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 4% |
| Unknown | 24 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 16% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Master | 3 | 12% |
| Researcher | 3 | 12% |
| Student > Postgraduate | 3 | 12% |
| Other | 2 | 8% |
| Unknown | 7 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 6 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Computer Science | 2 | 8% |
| Environmental Science | 1 | 4% |
| Other | 4 | 16% |
| Unknown | 6 | 24% |