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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Construction and Use of Staphylococcus aureus Strains to Study Within-Host Infection Dynamics
|
|---|---|
| Chapter number | 2 |
| Book title |
Antibiotic Resistance Protocols
|
| Published in |
Methods in molecular biology, January 2018
|
| DOI | 10.1007/978-1-4939-7638-6_2 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-7636-2, 978-1-4939-7638-6
|
| Authors |
Gareth McVicker, Tomasz K. Prajsnar, Simon J. Foster, McVicker, Gareth, Prajsnar, Tomasz K., Foster, Simon J. |
| Abstract |
The study of the dynamics that occur during the course of a bacterial infection has been attempted using several methods. Here we discuss the construction of a set of antibiotic-resistant, otherwise-isogenic Staphylococcus aureus strains that can be used to observe the progress of systemic disease in a mouse model at various time-points postinfection. The strains can likewise be used to study the progression of infection in other animal infection models, such as the zebrafish embryo. Furthermore, the use of antibiotic resistance tags provides a convenient system with which to investigate the effect of antimicrobial chemotherapy during disease. |
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 % |
|---|---|---|
| France | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 % |
|---|---|---|
| Researcher | 4 | 29% |
| Student > Doctoral Student | 2 | 14% |
| Unspecified | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Lecturer | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 4 | 29% |
| Biochemistry, Genetics and Molecular Biology | 4 | 29% |
| Unspecified | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Medicine and Dentistry | 1 | 7% |
| Other | 0 | 0% |
| Unknown | 3 | 21% |
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 31 December 2018.
All research outputs
#17,925,346
of 23,015,156 outputs
Outputs from Methods in molecular biology
#7,288
of 13,165 outputs
Outputs of similar age
#310,377
of 442,344 outputs
Outputs of similar age from Methods in molecular biology
#868
of 1,498 outputs
Altmetric has tracked 23,015,156 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 13,165 research outputs from this source. They receive a mean Attention Score of 3.4. This one is in the 39th percentile – i.e., 39% 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 442,344 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1,498 others from the same source and published within six weeks on either side of this one. This one is in the 36th percentile – i.e., 36% of its contemporaries scored the same or lower than it.