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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MALDI Spectra Database for Rapid Discrimination and Subtyping of Mycobacterium kansasii
|
|---|---|
| Published in |
Frontiers in Microbiology, April 2018
|
| DOI | 10.3389/fmicb.2018.00587 |
| Pubmed ID | |
| Authors |
Jayaseelan Murugaiyan, Astrid Lewin, Elisabeth Kamal, Zofia Bakuła, Jakko van Ingen, Vit Ulmann, Miren J. Unzaga Barañano, Joanna Humięcka, Aleksandra Safianowska, Uwe H. Roesler, Tomasz Jagielski |
| Abstract |
Mycobacterium kansasii is an emerging non-tuberculous mycobacterial (NTM) pathogen capable of causing severe lung disease. Of the seven currently recognized M. kansasii genotypes (I-VII), genotypes I and II are most prevalent and have been associated with human disease, whereas the other five (III-VII) genotypes are predominantly of environmental origin and are believed to be non-pathogenic. Subtyping of M. kansasii serves as a valuable tool to guide clinicians in pursuing diagnosis and to initiate the proper timely treatment. Most of the previous rapid diagnostic tests for mycobacteria employing the matrix-assisted laser desorption/ionization time-of-flight mass spectrometry (MALDI-TOF MS) technology focused on species-level identification. The purpose of this study was to establish MALDI-TOF MS reference spectra database for discrimination of M. kansasii at the genotype level. A panel of 32 strains, representatives of M. kansasii genotypes I-VI were selected, whole cell proteins extracted and measured with MALDI-TOF MS. A unique main spectra (MSP) library was created using MALDI Biotyper Compass Explorer software. The spectra reproducibility was assessed by computing composite correlation index and MSPs cross-matching. One hundred clinical M. kansasii isolates used for testing of the database resulted in 90% identification at genus-level, 7% identification at species-level and 2% identification was below the threshold of log score value 1.7, of which all were correct at genotype level. One strain could not be identified. On the other hand, 37% of strains were identified at species level, 40% at genus level and 23% was not identified with the manufacturer's database. The MALDI-TOF MS was proven a rapid and robust tool to detect and differentiate between M. kansasii genotypes. It is concluded that MALDI-TOF MS has a potential to be incorporated into the routine diagnostic workflow of M. kansasii and possibly other NTM species. |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 32 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 32 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 13% |
| Researcher | 4 | 13% |
| Other | 3 | 9% |
| Lecturer | 2 | 6% |
| Student > Bachelor | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 11 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 13% |
| Agricultural and Biological Sciences | 3 | 9% |
| Unspecified | 2 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 5 | 16% |
| Unknown | 13 | 41% |
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 20 April 2018.
All research outputs
#20,481,952
of 23,043,346 outputs
Outputs from Frontiers in Microbiology
#22,768
of 25,186 outputs
Outputs of similar age
#290,544
of 329,125 outputs
Outputs of similar age from Frontiers in Microbiology
#542
of 602 outputs
Altmetric has tracked 23,043,346 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 25,186 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one is in the 1st percentile – i.e., 1% 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 329,125 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 602 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.