You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Bacterial Persistence
|
|---|---|
| Chapter number | 7 |
| Book title |
Bacterial Persistence
|
| Published in |
Methods in molecular biology, January 2016
|
| DOI | 10.1007/978-1-4939-2854-5_7 |
| Pubmed ID | |
| Book ISBNs |
978-1-4939-2853-8, 978-1-4939-2854-5
|
| Authors |
Levin-Reisman, Irit, Balaban, Nathalie Q, Irit Levin-Reisman, Nathalie Q. Balaban, Balaban, Nathalie Q. |
| Abstract |
The present method quantifies the number of slow-growing bacteria leading to antibiotic persistence in a clonal population. First, it enables discriminating between slow growers that are generated by exposure to a stress signal (Type I persisters) and slow growers that are continuously generated during exponential growth (Type II persisters). Second, the method enables determining the amount of slow growers in a culture. |
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 % |
|---|---|---|
| United Kingdom | 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 4% |
| Unknown | 25 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 8 | 31% |
| Student > Ph. D. Student | 6 | 23% |
| Other | 2 | 8% |
| Professor | 1 | 4% |
| Student > Master | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 27% |
| Agricultural and Biological Sciences | 7 | 27% |
| Environmental Science | 1 | 4% |
| Computer Science | 1 | 4% |
| Immunology and Microbiology | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 24 November 2020.
All research outputs
#7,240,812
of 22,880,230 outputs
Outputs from Methods in molecular biology
#2,203
of 13,132 outputs
Outputs of similar age
#117,604
of 393,712 outputs
Outputs of similar age from Methods in molecular biology
#256
of 1,471 outputs
Altmetric has tracked 22,880,230 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 13,132 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 82% 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 393,712 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 69% of its contemporaries.
We're also able to compare this research output to 1,471 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.