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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MALDI-TOF mass spectrometry: an emerging technology for microbial identification and diagnosis
|
|---|---|
| Published in |
Frontiers in Microbiology, August 2015
|
| DOI | 10.3389/fmicb.2015.00791 |
| Pubmed ID | |
| Authors |
Neelja Singhal, Manish Kumar, Pawan K. Kanaujia, Jugsharan S. Virdi |
| Abstract |
Currently microorganisms are best identified using 16S rRNA and 18S rRNA gene sequencing. However, in recent years matrix assisted laser desorption ionization-time of flight mass spectrometry (MALDI-TOF MS) has emerged as a potential tool for microbial identification and diagnosis. During the MALDI-TOF MS process, microbes are identified using either intact cells or cell extracts. The process is rapid, sensitive, and economical in terms of both labor and costs involved. The technology has been readily imbibed by microbiologists who have reported usage of MALDI-TOF MS for a number of purposes like, microbial identification and strain typing, epidemiological studies, detection of biological warfare agents, detection of water- and food-borne pathogens, detection of antibiotic resistance and detection of blood and urinary tract pathogens etc. The limitation of the technology is that identification of new isolates is possible only if the spectral database contains peptide mass fingerprints of the type strains of specific genera/species/subspecies/strains. This review provides an overview of the status and recent applications of mass spectrometry for microbial identification. It also explores the usefulness of this exciting new technology for diagnosis of diseases caused by bacteria, viruses, and fungi. |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 20% |
| Netherlands | 2 | 20% |
| France | 1 | 10% |
| Spain | 1 | 10% |
| United Kingdom | 1 | 10% |
| Switzerland | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 2,689 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | <1% |
| United Kingdom | 2 | <1% |
| Brazil | 1 | <1% |
| Ireland | 1 | <1% |
| Germany | 1 | <1% |
| Thailand | 1 | <1% |
| Canada | 1 | <1% |
| Japan | 1 | <1% |
| Spain | 1 | <1% |
| Other | 0 | 0% |
| Unknown | 2677 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 466 | 17% |
| Student > Master | 362 | 13% |
| Student > Ph. D. Student | 350 | 13% |
| Researcher | 220 | 8% |
| Student > Doctoral Student | 125 | 5% |
| Other | 311 | 12% |
| Unknown | 855 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 466 | 17% |
| Agricultural and Biological Sciences | 359 | 13% |
| Immunology and Microbiology | 214 | 8% |
| Medicine and Dentistry | 167 | 6% |
| Chemistry | 164 | 6% |
| Other | 382 | 14% |
| Unknown | 937 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 192. 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 30 October 2023.
All research outputs
#201,361
of 24,931,592 outputs
Outputs from Frontiers in Microbiology
#123
of 28,493 outputs
Outputs of similar age
#2,145
of 269,750 outputs
Outputs of similar age from Frontiers in Microbiology
#1
of 357 outputs
Altmetric has tracked 24,931,592 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 28,493 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has done particularly well, scoring higher than 99% of its peers.
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 269,750 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 357 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.