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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SeAMotE: a method for high-throughput motif discovery in nucleic acid sequences
|
|---|---|
| Published in |
BMC Genomics, October 2014
|
| DOI | 10.1186/1471-2164-15-925 |
| Pubmed ID | |
| Authors |
Federico Agostini, Davide Cirillo, Riccardo Delli Ponti, Gian Gaetano Tartaglia |
| Abstract |
The large amount of data produced by high-throughput sequencing poses new computational challenges. In the last decade, several tools have been developed for the identification of transcription and splicing factor binding sites. |
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 % |
|---|---|---|
| France | 3 | 60% |
| Spain | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 6% |
| United States | 1 | 3% |
| Argentina | 1 | 3% |
| Unknown | 32 | 89% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 36% |
| Student > Ph. D. Student | 6 | 17% |
| Student > Master | 4 | 11% |
| Student > Bachelor | 3 | 8% |
| Professor > Associate Professor | 3 | 8% |
| Other | 6 | 17% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 33% |
| Agricultural and Biological Sciences | 10 | 28% |
| Computer Science | 5 | 14% |
| Engineering | 3 | 8% |
| Medicine and Dentistry | 2 | 6% |
| Other | 1 | 3% |
| Unknown | 3 | 8% |
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 06 November 2014.
All research outputs
#8,085,117
of 24,266,964 outputs
Outputs from BMC Genomics
#3,805
of 10,935 outputs
Outputs of similar age
#87,731
of 265,286 outputs
Outputs of similar age from BMC Genomics
#67
of 211 outputs
Altmetric has tracked 24,266,964 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,935 research outputs from this source. They receive a mean Attention Score of 4.8. This one has gotten more attention than average, scoring higher than 58% 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 265,286 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 54% of its contemporaries.
We're also able to compare this research output to 211 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 65% of its contemporaries.