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X Demographics
Mendeley readers
Attention Score in Context
| Title |
RegTransBase – a database of regulatory sequences and interactions based on literature: a resource for investigating transcriptional regulation in prokaryotes
|
|---|---|
| Published in |
BMC Genomics, April 2013
|
| DOI | 10.1186/1471-2164-14-213 |
| Pubmed ID | |
| Authors |
Michael J Cipriano, Pavel N Novichkov, Alexey E Kazakov, Dmitry A Rodionov, Adam P Arkin, Mikhail S Gelfand, Inna Dubchak |
| Abstract |
Due to the constantly growing number of sequenced microbial genomes, comparative genomics has been playing a major role in the investigation of regulatory interactions in bacteria. Regulon inference mostly remains a field of semi-manual examination since absence of a knowledgebase and informatics platform for automated and systematic investigation restricts opportunities for computational prediction. Additionally, confirming computationally inferred regulons by experimental data is critically important. |
X Demographics
The data shown below were collected from the profiles of 5 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 Kingdom | 2 | 40% |
| France | 2 | 40% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
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 | 2 | 3% |
| Norway | 1 | 1% |
| Germany | 1 | 1% |
| Spain | 1 | 1% |
| Belgium | 1 | 1% |
| Unknown | 71 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 20 | 26% |
| Researcher | 17 | 22% |
| Student > Master | 13 | 17% |
| Professor | 5 | 6% |
| Student > Bachelor | 4 | 5% |
| Other | 13 | 17% |
| Unknown | 5 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 30 | 39% |
| Biochemistry, Genetics and Molecular Biology | 22 | 29% |
| Computer Science | 5 | 6% |
| Engineering | 4 | 5% |
| Medicine and Dentistry | 3 | 4% |
| Other | 5 | 6% |
| Unknown | 8 | 10% |
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 03 April 2013.
All research outputs
#13,033,408
of 22,703,044 outputs
Outputs from BMC Genomics
#4,701
of 10,624 outputs
Outputs of similar age
#103,792
of 199,767 outputs
Outputs of similar age from BMC Genomics
#56
of 125 outputs
Altmetric has tracked 22,703,044 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,624 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 55% 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 199,767 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 125 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.