| Title |
Specific patterns of gyr A mutations determine the resistance difference to ciprofloxacin and levofloxacin in Klebsiella pneumoniae and Escherichia coli
|
|---|---|
| Published in |
BMC Infectious Diseases, January 2013
|
| DOI | 10.1186/1471-2334-13-8 |
| Pubmed ID | |
| Authors |
Yingmei Fu, Wenli Zhang, Hong Wang, Song Zhao, Yang Chen, Fanfei Meng, Ying Zhang, Hui Xu, Xiaobei Chen, Fengmin Zhang |
| Abstract |
Wide use of ciprofloxacin and levofloxacin has often led to increased resistance. The resistance rate to these two agents varies in different clinical isolates of Enterobacteriaceae. Mutations of GyrA within the quinolone resistance-determining regions have been found to be the main mechanism for quinolone resistance in Enterobacteriaceae. It has been shown that only some of the mutations in the gyrA gene identified from clinical sources were involved in fluoroquinolone resistance. Whether different patterns of gyrA mutation are related to antimicrobial resistance against ciprofloxacin and levofloxacin is unclear. |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 60% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 40% |
| Practitioners (doctors, other healthcare professionals) | 2 | 40% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 110 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Poland | 1 | <1% |
| Unknown | 109 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 16% |
| Student > Bachelor | 15 | 14% |
| Student > Master | 12 | 11% |
| Researcher | 10 | 9% |
| Student > Doctoral Student | 7 | 6% |
| Other | 22 | 20% |
| Unknown | 26 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 20 | 18% |
| Medicine and Dentistry | 20 | 18% |
| Agricultural and Biological Sciences | 14 | 13% |
| Immunology and Microbiology | 14 | 13% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 3% |
| Other | 12 | 11% |
| Unknown | 27 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 October 2023.
All research outputs
#6,248,574
of 25,350,078 outputs
Outputs from BMC Infectious Diseases
#1,968
of 8,551 outputs
Outputs of similar age
#61,615
of 294,688 outputs
Outputs of similar age from BMC Infectious Diseases
#31
of 162 outputs
Altmetric has tracked 25,350,078 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 8,551 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.7. This one has done well, scoring higher than 76% 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 294,688 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 79% of its contemporaries.
We're also able to compare this research output to 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.