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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prevalence of Non-Tuberculous Mycobacteria in Hospital Waters of Major Cities of Khuzestan Province, Iran
|
|---|---|
| Published in |
Frontiers in Cellular and Infection Microbiology, April 2016
|
| DOI | 10.3389/fcimb.2016.00042 |
| Pubmed ID | |
| Authors |
Azar Dokht Khosravi, Abdolrazagh Hashemi Shahraki, Mohammad Hashemzadeh, Rasa Sheini Mehrabzadeh, Ali Teimoori |
| Abstract |
Non-tuberculous mycobacteria (NTM) are among the emerging pathogens in immunocompromised individuals including hospitalized patients. So, it is important to consider hospitals water supplies as a source for infection. The aim of this study was to determine the prevalence of NTM in the hospital aquatic systems of Khuzestan, South west of Iran. In total, 258 hospital water samples were collected and examined. After initial sample processing, sediment of each sample were inoculated into two Lowenstein-Jensen medium. The positive cultures were studied with phenotypic tests including growth rate, colony morphology, and pigmentation, with subsequent PCR- restriction enzyme analysis (PRA) and rpoB gene sequence analysis. Mycobacterial strains were isolated from 77 samples (29.8%), comprising 52 (70.1%) rapid growing, and 25 (32.4%) slow growing mycobacteria. Based on the overall results, M. fortuitum (44.1%) was the most common mycobacterial species in hospital water samples, followed by M. gordonae (n = 13, 16.8%) and M. senegalense (n = 5, 7.7%). In conclusion, current study demonstrated the NTM strains as one of the major parts of hospital water supplies with probable potential source for nosocomial infections. This finding also help to shed light on to the dynamics of the distribution and diversity of NTM in the water system of hospitals in the region of study. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 1 | 2% |
| Unknown | 48 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 14% |
| Student > Postgraduate | 7 | 14% |
| Student > Ph. D. Student | 6 | 12% |
| Student > Bachelor | 4 | 8% |
| Other | 4 | 8% |
| Other | 12 | 24% |
| Unknown | 9 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 11 | 22% |
| Medicine and Dentistry | 8 | 16% |
| Biochemistry, Genetics and Molecular Biology | 5 | 10% |
| Environmental Science | 3 | 6% |
| Agricultural and Biological Sciences | 3 | 6% |
| Other | 6 | 12% |
| Unknown | 13 | 27% |
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 06 May 2016.
All research outputs
#17,796,099
of 22,862,742 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#4,115
of 6,420 outputs
Outputs of similar age
#206,313
of 300,837 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#18
of 29 outputs
Altmetric has tracked 22,862,742 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,420 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one is in the 24th percentile – i.e., 24% 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 300,837 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 29 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.