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Identificacin de especies de micobacterias mediante espectrometra de masas (MALDI-TOF)

Overview of attention for article published in Revista chilena de infectología, June 2020
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Title
Identificacin de especies de micobacterias mediante espectrometra de masas (MALDI-TOF)
Published in
Revista chilena de infectología, June 2020
DOI 10.4067/s0716-10182020000300252
Pubmed ID
Authors

Samuel Contreras, David Rodríguez, Francisco Vera, María Elvira Balcells, Luis Celis, Paulette Legarraga, Juan Carlos Román, Patricia García

Abstract

Mycobacterial diseases are very important both clinically and epidemiologically. Mycobacterium tuberculosis complex (MTBc) infections confer higher morbidity and mortality rate than non-tuberculous mycobacteria (NTM) infections. Traditional species identification techniques are based on phenotypic characteristics which take a long time by laborious processes and in occasions are no conclusive. Currently, most used techniques are based on molecular methods, which are accurate but are expensive and complex. Matrix Assisted Laser Desorption/Ionization Time-of-Flight mass spectrometry (MALDI-TOF MS) is a simple, cheap and fast identification method based on comparing protein spectra with a reference database. To assess the performance of MALDI-TOF MS in the identification of MTBc and NTM, compared with molecular methods. For that purpose, 28 isolates of 9 different species were analyzed through MALDI-TOF MS. 78.5% (22/28) of isolates were correctly identified, 100% (9/9) of rapidly growers NTM, 60% (9/15) of slow growing NTM and 100% (4/4) of MTBc. Every unidentified isolate (6/6) corresponded to M. avium/intracellulare complex. MALDI-TOF MS is fast, simple and cheaper than molecular methods and also has adequate accuracy.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 14 100%

Demographic breakdown

Readers by professional status Count As %
Other 2 14%
Unspecified 1 7%
Lecturer 1 7%
Professor 1 7%
Unknown 9 64%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 2 14%
Medicine and Dentistry 2 14%
Unspecified 1 7%
Immunology and Microbiology 1 7%
Veterinary Science and Veterinary Medicine 1 7%
Other 0 0%
Unknown 7 50%
Attention Score in Context

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 17 June 2023.
All research outputs
#20,669,432
of 25,387,668 outputs
Outputs from Revista chilena de infectología
#401
of 580 outputs
Outputs of similar age
#332,874
of 433,040 outputs
Outputs of similar age from Revista chilena de infectología
#7
of 8 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. This one is in the 10th percentile – i.e., 10% of other outputs scored the same or lower than it.
So far Altmetric has tracked 580 research outputs from this source. They receive a mean Attention Score of 3.1. This one is in the 19th percentile – i.e., 19% 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 433,040 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.