Automated High-Throughput Identification and Characterization of Clinically Important Bacteria and Fungi using Rapid Evaporative Ionization Mass Spectrometry
- Submitting institution
-
Queen's University of Belfast
- Unit of assessment
- 6 - Agriculture, Food and Veterinary Sciences
- Output identifier
- 181786276
- Type
- D - Journal article
- DOI
-
10.1021/acs.analchem.6b01016
- Title of journal
- Analytical Chemistry
- Article number
- 88
- First page
- 9419
- Volume
- 88
- Issue
- 19
- ISSN
- 0003-2700
- Open access status
- Technical exception
- Month of publication
- August
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
12
- Research group(s)
-
-
- Citation count
- 40
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- -
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
