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Mendeley readers
Attention Score in Context
| Title |
A reexamination of information theory-based methods for DNA-binding site identification
|
|---|---|
| Published in |
BMC Bioinformatics, February 2009
|
| DOI | 10.1186/1471-2105-10-57 |
| Pubmed ID | |
| Authors |
Ivan Erill, Michael C O'Neill |
| Abstract |
Searching for transcription factor binding sites in genome sequences is still an open problem in bioinformatics. Despite substantial progress, search methods based on information theory remain a standard in the field, even though the full validity of their underlying assumptions has only been tested in artificial settings. Here we use newly available data on transcription factors from different bacterial genomes to make a more thorough assessment of information theory-based search methods. |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 2 | 3% |
| Malaysia | 2 | 3% |
| United Kingdom | 2 | 3% |
| Korea, Republic of | 1 | 1% |
| Turkey | 1 | 1% |
| Canada | 1 | 1% |
| Belgium | 1 | 1% |
| Spain | 1 | 1% |
| Poland | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 65 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 31% |
| Researcher | 19 | 24% |
| Student > Bachelor | 11 | 14% |
| Professor > Associate Professor | 5 | 6% |
| Student > Master | 5 | 6% |
| Other | 11 | 14% |
| Unknown | 3 | 4% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 35 | 45% |
| Computer Science | 15 | 19% |
| Biochemistry, Genetics and Molecular Biology | 11 | 14% |
| Engineering | 3 | 4% |
| Physics and Astronomy | 3 | 4% |
| Other | 7 | 9% |
| Unknown | 4 | 5% |
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 09 January 2023.
All research outputs
#8,724,841
of 25,836,587 outputs
Outputs from BMC Bioinformatics
#3,257
of 7,755 outputs
Outputs of similar age
#55,723
of 191,563 outputs
Outputs of similar age from BMC Bioinformatics
#21
of 58 outputs
Altmetric has tracked 25,836,587 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,755 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has gotten more attention than average, scoring higher than 50% 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 191,563 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 17th percentile – i.e., 17% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.