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Mendeley readers
Attention Score in Context
| Title |
Systematic mapping of two component response regulators to gene targets in a model sulfate reducing bacterium
|
|---|---|
| Published in |
Genome Biology, October 2011
|
| DOI | 10.1186/gb-2011-12-10-r99 |
| Pubmed ID | |
| Authors |
Lara Rajeev, Eric G Luning, Paramvir S Dehal, Morgan N Price, Adam P Arkin, Aindrila Mukhopadhyay |
| Abstract |
Two component regulatory systems are the primary form of signal transduction in bacteria. Although genomic binding sites have been determined for several eukaryotic and bacterial transcription factors, comprehensive identification of gene targets of two component response regulators remains challenging due to the lack of knowledge of the signals required for their activation. We focused our study on Desulfovibrio vulgaris Hildenborough, a sulfate reducing bacterium that encodes unusually diverse and largely uncharacterized two component signal transduction systems. |
Mendeley readers
The data shown below were compiled from readership statistics for 72 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 3% |
| Germany | 1 | 1% |
| Portugal | 1 | 1% |
| India | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 66 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 21 | 29% |
| Researcher | 18 | 25% |
| Student > Doctoral Student | 6 | 8% |
| Student > Master | 5 | 7% |
| Student > Bachelor | 4 | 6% |
| Other | 9 | 13% |
| Unknown | 9 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 31 | 43% |
| Biochemistry, Genetics and Molecular Biology | 15 | 21% |
| Engineering | 4 | 6% |
| Environmental Science | 2 | 3% |
| Chemical Engineering | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 10 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 19 November 2017.
All research outputs
#8,534,976
of 25,374,647 outputs
Outputs from Genome Biology
#3,489
of 4,467 outputs
Outputs of similar age
#50,923
of 148,286 outputs
Outputs of similar age from Genome Biology
#34
of 44 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 14th percentile – i.e., 14% 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 148,286 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 44 others from the same source and published within six weeks on either side of this one. This one is in the 18th percentile – i.e., 18% of its contemporaries scored the same or lower than it.