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Mendeley readers
Attention Score in Context
| Chapter title |
Methods to Study Antimicrobial Resistance in Campylobacter jejuni.
|
|---|---|
| Chapter number | 4 |
| Book title |
Campylobacter jejuni
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6536-6_4 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6534-2, 978-1-4939-6536-6
|
| Authors |
Orhan Sahin, Zhangqi Shen, Qijing Zhang |
| Editors |
James Butcher, Alain Stintzi |
| Abstract |
Campylobacter jejuni is a leading bacterial cause of foodborne gastroenteritis worldwide and is increasingly resistant to clinically important antibiotics. Detection of antibiotic resistance in C. jejuni can be performed with both phenotypic and genotypic methods. In this chapter, we describe the most commonly used molecular biology methods for detection of resistance to clinically important antibiotics. These methods can be employed in both clinical and research settings to facilitate clinical therapy and to monitor the emergence and dissemination of antibiotic-resistant C. jejuni. |
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 | 6 | 19% |
| Student > Master | 4 | 13% |
| Researcher | 4 | 13% |
| Professor > Associate Professor | 3 | 9% |
| Professor | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 9 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 5 | 16% |
| Veterinary Science and Veterinary Medicine | 3 | 9% |
| Medicine and Dentistry | 3 | 9% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Other | 6 | 19% |
| Unknown | 11 | 34% |
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 27 November 2016.
All research outputs
#15,395,259
of 22,903,988 outputs
Outputs from Methods in molecular biology
#5,356
of 13,133 outputs
Outputs of similar age
#256,344
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#465
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,133 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 44th percentile – i.e., 44% 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 420,462 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,074 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.