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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Rule–based regulatory and metabolic model for Quorum sensing in P. aeruginosa
|
|---|---|
| Published in |
BMC Systems Biology, August 2013
|
| DOI | 10.1186/1752-0509-7-81 |
| Pubmed ID | |
| Authors |
Nadine S Schaadt, Anke Steinbach, Rolf W Hartmann, Volkhard Helms |
| Abstract |
In the pathogen P. aeruginosa, the formation of virulence factors is regulated via Quorum sensing signaling pathways. Due to the increasing number of strains that are resistant to antibiotics, there is a high interest to develop novel antiinfectives. In the combat of resistant bacteria, selective blockade of the bacterial cell-to-cell communication (Quorum sensing) has gained special interest as anti-virulence strategy. Here, we modeled the las, rhl, and pqs Quorum sensing systems by a multi-level logical approach to analyze how enzyme inhibitors and receptor antagonists effect the formation of autoinducers and virulence factors. |
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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 4% |
| United Kingdom | 2 | 3% |
| Netherlands | 1 | 1% |
| Singapore | 1 | 1% |
| Unknown | 70 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 30% |
| Student > Master | 15 | 19% |
| Researcher | 11 | 14% |
| Student > Bachelor | 8 | 10% |
| Student > Doctoral Student | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 8 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 39% |
| Biochemistry, Genetics and Molecular Biology | 8 | 10% |
| Computer Science | 8 | 10% |
| Engineering | 7 | 9% |
| Immunology and Microbiology | 4 | 5% |
| Other | 8 | 10% |
| Unknown | 12 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 10 September 2013.
All research outputs
#1,956,750
of 22,719,618 outputs
Outputs from BMC Systems Biology
#42
of 1,142 outputs
Outputs of similar age
#18,161
of 198,818 outputs
Outputs of similar age from BMC Systems Biology
#2
of 22 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,142 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done particularly well, scoring higher than 96% 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 198,818 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.