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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic reconstruction of transcriptional regulatory networks in lactic acid bacteria
|
|---|---|
| Published in |
BMC Genomics, February 2013
|
| DOI | 10.1186/1471-2164-14-94 |
| Pubmed ID | |
| Authors |
Dmitry A Ravcheev, Aaron A Best, Natalia V Sernova, Marat D Kazanov, Pavel S Novichkov, Dmitry A Rodionov |
| Abstract |
Genome scale annotation of regulatory interactions and reconstruction of regulatory networks are the crucial problems in bacterial genomics. The Lactobacillales order of bacteria collates various microorganisms having a large economic impact, including both human and animal pathogens and strains used in the food industry. Nonetheless, no systematic genome-wide analysis of transcriptional regulation has been previously made for this taxonomic group. |
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 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Hungary | 1 | 1% |
| Australia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Russia | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 84 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 20 | 22% |
| Student > Ph. D. Student | 16 | 18% |
| Student > Bachelor | 15 | 17% |
| Student > Master | 10 | 11% |
| Student > Doctoral Student | 6 | 7% |
| Other | 20 | 22% |
| Unknown | 2 | 2% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 47% |
| Biochemistry, Genetics and Molecular Biology | 15 | 17% |
| Computer Science | 6 | 7% |
| Engineering | 4 | 4% |
| Environmental Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 10 | 11% |
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 19 March 2013.
All research outputs
#15,266,089
of 22,701,287 outputs
Outputs from BMC Genomics
#6,666
of 10,622 outputs
Outputs of similar age
#185,197
of 287,479 outputs
Outputs of similar age from BMC Genomics
#233
of 358 outputs
Altmetric has tracked 22,701,287 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,622 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 29th percentile – i.e., 29% 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 287,479 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 358 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.