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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Simple Shared Motifs (SSM) in conserved region of promoters: a new approach to identify co-regulation patterns
|
|---|---|
| Published in |
BMC Bioinformatics, September 2011
|
| DOI | 10.1186/1471-2105-12-365 |
| Pubmed ID | |
| Authors |
Jérémy Gruel, Michel LeBorgne, Nolwenn LeMeur, Nathalie Théret |
| Abstract |
Regulation of gene expression plays a pivotal role in cellular functions. However, understanding the dynamics of transcription remains a challenging task. A host of computational approaches have been developed to identify regulatory motifs, mainly based on the recognition of DNA sequences for transcription factor binding sites. Recent integration of additional data from genomic analyses or phylogenetic footprinting has significantly improved these methods. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 1 | 50% |
| India | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
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 | 3 | 6% |
| United States | 3 | 6% |
| France | 2 | 4% |
| Sweden | 1 | 2% |
| Norway | 1 | 2% |
| Spain | 1 | 2% |
| Hong Kong | 1 | 2% |
| Unknown | 39 | 76% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 21 | 41% |
| Student > Ph. D. Student | 12 | 24% |
| Professor > Associate Professor | 5 | 10% |
| Professor | 3 | 6% |
| Student > Master | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 3 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 26 | 51% |
| Computer Science | 11 | 22% |
| Biochemistry, Genetics and Molecular Biology | 6 | 12% |
| Engineering | 2 | 4% |
| Social Sciences | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 4 | 8% |
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 13 September 2011.
All research outputs
#14,136,253
of 22,651,245 outputs
Outputs from BMC Bioinformatics
#4,706
of 7,236 outputs
Outputs of similar age
#83,445
of 126,005 outputs
Outputs of similar age from BMC Bioinformatics
#61
of 86 outputs
Altmetric has tracked 22,651,245 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 30th percentile – i.e., 30% 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 126,005 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 86 others from the same source and published within six weeks on either side of this one. This one is in the 23rd percentile – i.e., 23% of its contemporaries scored the same or lower than it.