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Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments

Overview of attention for article published in Algorithms for Molecular Biology, December 2018
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Among the highest-scoring outputs from this source (#19 of 212)
  • Good Attention Score compared to outputs of the same age (77th percentile)
  • High Attention Score compared to outputs of the same age and source (82nd percentile)

Mentioned by

blogs
1 blog
twitter
3 tweeters

Readers on

mendeley
12 Mendeley
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Title
Regmex: a statistical tool for exploring motifs in ranked sequence lists from genomics experiments
Published in
Algorithms for Molecular Biology, December 2018
DOI 10.1186/s13015-018-0135-2
Pubmed ID
Authors

Morten Muhlig Nielsen, Paula Tataru, Tobias Madsen, Asger Hobolth, Jakob Skou Pedersen

Twitter Demographics

The data shown below were collected from the profiles of 3 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 12 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 33%
Student > Ph. D. Student 2 17%
Student > Bachelor 1 8%
Student > Doctoral Student 1 8%
Lecturer > Senior Lecturer 1 8%
Other 2 17%
Unknown 1 8%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 33%
Biochemistry, Genetics and Molecular Biology 2 17%
Chemical Engineering 1 8%
Pharmacology, Toxicology and Pharmaceutical Science 1 8%
Medicine and Dentistry 1 8%
Other 2 17%
Unknown 1 8%

Attention Score in Context

This research output has an Altmetric Attention Score of 8. 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 24 December 2018.
All research outputs
#2,177,898
of 14,058,698 outputs
Outputs from Algorithms for Molecular Biology
#19
of 212 outputs
Outputs of similar age
#82,883
of 370,512 outputs
Outputs of similar age from Algorithms for Molecular Biology
#3
of 17 outputs
Altmetric has tracked 14,058,698 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 212 research outputs from this source. They receive a mean Attention Score of 3.0. This one has done particularly well, scoring higher than 91% 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 370,512 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 77% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.