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Discovering Motifs in Ranked Lists of DNA Sequences

Overview of attention for article published in PLoS Computational Biology, March 2007
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (80th percentile)
  • Good Attention Score compared to outputs of the same age and source (68th percentile)

Mentioned by

twitter
1 X user
patent
4 patents
f1000
1 research highlight platform
q&a
1 Q&A thread

Readers on

mendeley
542 Mendeley
citeulike
18 CiteULike
connotea
4 Connotea
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Title
Discovering Motifs in Ranked Lists of DNA Sequences
Published in
PLoS Computational Biology, March 2007
DOI 10.1371/journal.pcbi.0030039
Pubmed ID
Authors

Eran Eden, Doron Lipson, Sivan Yogev, Zohar Yakhini

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 542 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 11 2%
United Kingdom 6 1%
France 3 <1%
Spain 3 <1%
Denmark 2 <1%
Japan 2 <1%
China 2 <1%
Brazil 2 <1%
Australia 1 <1%
Other 12 2%
Unknown 498 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 156 29%
Researcher 97 18%
Student > Master 70 13%
Student > Bachelor 42 8%
Student > Doctoral Student 23 4%
Other 75 14%
Unknown 79 15%
Readers by discipline Count As %
Agricultural and Biological Sciences 208 38%
Biochemistry, Genetics and Molecular Biology 121 22%
Medicine and Dentistry 32 6%
Computer Science 27 5%
Neuroscience 20 4%
Other 52 10%
Unknown 82 15%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 18 July 2023.
All research outputs
#5,310,838
of 26,017,215 outputs
Outputs from PLoS Computational Biology
#4,007
of 9,035 outputs
Outputs of similar age
#17,350
of 95,050 outputs
Outputs of similar age from PLoS Computational Biology
#9
of 29 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 9,035 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 20.4. 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 95,050 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 29 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 68% of its contemporaries.