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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evolution of transcriptional regulation in closely related bacteria
|
|---|---|
| Published in |
BMC Ecology and Evolution, October 2012
|
| DOI | 10.1186/1471-2148-12-200 |
| Pubmed ID | |
| Authors |
Olga V Tsoy, Mikhail A Pyatnitskiy, Marat D Kazanov, Mikhail S Gelfand |
| Abstract |
The exponential growth of the number of fully sequenced genomes at varying taxonomic closeness allows one to characterize transcriptional regulation using comparative-genomics analysis instead of time-consuming experimental methods. A transcriptional regulatory unit consists of a transcription factor, its binding site and a regulated gene. These units constitute a graph which contains so-called "network motifs", subgraphs of a given structure. Here we consider genomes of closely related Enterobacteriales and estimate the fraction of conserved network motifs and sites as well as positions under selection in various types of non-coding regions. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 67% |
| Japan | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Mexico | 1 | 2% |
| Ukraine | 1 | 2% |
| Unknown | 48 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 33% |
| Researcher | 12 | 24% |
| Student > Bachelor | 4 | 8% |
| Professor | 4 | 8% |
| Student > Master | 4 | 8% |
| Other | 6 | 12% |
| Unknown | 4 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 27 | 53% |
| Biochemistry, Genetics and Molecular Biology | 14 | 27% |
| Computer Science | 1 | 2% |
| Immunology and Microbiology | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 7 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 October 2012.
All research outputs
#16,721,208
of 25,373,627 outputs
Outputs from BMC Ecology and Evolution
#2,818
of 3,714 outputs
Outputs of similar age
#122,242
of 191,758 outputs
Outputs of similar age from BMC Ecology and Evolution
#29
of 45 outputs
Altmetric has tracked 25,373,627 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,714 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.5. This one is in the 21st percentile – i.e., 21% 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 191,758 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.