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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Determination of Bacterial Membrane Impairment by Antimicrobial Agents
|
|---|---|
| Chapter number | 8 |
| Book title |
Antibiotics
|
| Published in |
Methods in molecular biology, January 2017
|
| DOI | 10.1007/978-1-4939-6634-9_8 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-6632-5, 978-1-4939-6634-9
|
| Authors |
Miriam Wilmes, Hans-Georg Sahl |
| Editors |
Peter Sass |
| Abstract |
The bacterial cytoplasmic membrane separates the cell from its environment and acts as a selective permeability barrier. In addition, it functions in energy conservation, transport, and biosynthesis processes. Antimicrobial agents disrupting these functions may lead to pleiotropic effects, including leakage of low molecular weight compounds such as ions, amino acids and ATP, and subsequent membrane depolarization. This article describes two techniques to assess antibiotic-induced membrane impairment in vivo. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 33% |
| Lecturer > Senior Lecturer | 1 | 33% |
| Unknown | 1 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 67% |
| Unknown | 1 | 33% |
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 16 January 2018.
All research outputs
#20,355,479
of 22,903,988 outputs
Outputs from Methods in molecular biology
#9,922
of 13,133 outputs
Outputs of similar age
#355,337
of 420,462 outputs
Outputs of similar age from Methods in molecular biology
#845
of 1,074 outputs
Altmetric has tracked 22,903,988 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% 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 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.