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
| Title |
Transcriptional cross-activation between toxin-antitoxin systems of Escherichia coli
|
|---|---|
| Published in |
BMC Microbiology, February 2013
|
| DOI | 10.1186/1471-2180-13-45 |
| Pubmed ID | |
| Authors |
Villu Kasari, Toomas Mets, Tanel Tenson, Niilo Kaldalu |
| Abstract |
Bacterial toxin-antitoxin (TA) systems are formed by potent regulatory or suicide factors (toxins) and their short-lived inhibitors (antitoxins). Antitoxins are DNA-binding proteins and auto-repress transcription of TA operons. Transcription of multiple TA operons is activated in temporarily non-growing persister cells that can resist killing by antibiotics. Consequently, the antitoxin levels of persisters must have been dropped and toxins are released of inhibition. |
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 States | 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 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Estonia | 3 | 2% |
| United Kingdom | 2 | 1% |
| Germany | 1 | <1% |
| Malaysia | 1 | <1% |
| Belgium | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 127 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 46 | 34% |
| Researcher | 32 | 24% |
| Student > Bachelor | 14 | 10% |
| Student > Master | 10 | 7% |
| Professor > Associate Professor | 6 | 4% |
| Other | 13 | 10% |
| Unknown | 15 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 65 | 48% |
| Biochemistry, Genetics and Molecular Biology | 34 | 25% |
| Immunology and Microbiology | 5 | 4% |
| Medicine and Dentistry | 4 | 3% |
| Computer Science | 2 | 1% |
| Other | 10 | 7% |
| Unknown | 16 | 12% |
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 February 2013.
All research outputs
#18,331,227
of 22,699,621 outputs
Outputs from BMC Microbiology
#2,226
of 3,170 outputs
Outputs of similar age
#146,786
of 192,994 outputs
Outputs of similar age from BMC Microbiology
#24
of 32 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,170 research outputs from this source. They receive a mean Attention Score of 4.1. This one is in the 15th percentile – i.e., 15% 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 192,994 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 32 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.