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Mendeley readers
Attention Score in Context
Title |
Quantifying similarity between motifs
|
---|---|
Published in |
Genome Biology, February 2007
|
DOI | 10.1186/gb-2007-8-2-r24 |
Pubmed ID | |
Authors |
Shobhit Gupta, John A Stamatoyannopoulos, Timothy L Bailey, William Stafford Noble |
Abstract |
A common question within the context of de novo motif discovery is whether a newly discovered, putative motif resembles any previously discovered motif in an existing database. To answer this question, we define a statistical measure of motif-motif similarity, and we describe an algorithm, called Tomtom, for searching a database of motifs with a given query motif. Experimental simulations demonstrate the accuracy of Tomtom's E values and its effectiveness in finding similar motifs. |
Mendeley readers
The data shown below were compiled from readership statistics for 1,058 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 18 | 2% |
Germany | 5 | <1% |
Italy | 4 | <1% |
France | 3 | <1% |
China | 3 | <1% |
Australia | 2 | <1% |
Netherlands | 2 | <1% |
Japan | 2 | <1% |
United Kingdom | 2 | <1% |
Other | 15 | 1% |
Unknown | 1002 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 309 | 29% |
Researcher | 174 | 16% |
Student > Master | 141 | 13% |
Student > Bachelor | 95 | 9% |
Student > Doctoral Student | 49 | 5% |
Other | 142 | 13% |
Unknown | 148 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 425 | 40% |
Biochemistry, Genetics and Molecular Biology | 283 | 27% |
Computer Science | 67 | 6% |
Medicine and Dentistry | 23 | 2% |
Engineering | 18 | 2% |
Other | 76 | 7% |
Unknown | 166 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 2024.
All research outputs
#5,446,210
of 25,371,288 outputs
Outputs from Genome Biology
#2,945
of 4,467 outputs
Outputs of similar age
#17,592
of 90,633 outputs
Outputs of similar age from Genome Biology
#10
of 26 outputs
Altmetric has tracked 25,371,288 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,467 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one is in the 32nd percentile – i.e., 32% 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 90,633 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 70% of its contemporaries.
We're also able to compare this research output to 26 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 61% of its contemporaries.