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Uncovering deeply conserved motif combinations in rapidly evolving noncoding sequences

Overview of attention for article published in Genome Biology, January 2021
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (96th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
108 X users
patent
1 patent

Citations

dimensions_citation
30 Dimensions

Readers on

mendeley
84 Mendeley
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Title
Uncovering deeply conserved motif combinations in rapidly evolving noncoding sequences
Published in
Genome Biology, January 2021
DOI 10.1186/s13059-020-02247-1
Pubmed ID
Authors

Caroline Jane Ross, Aviv Rom, Amit Spinrad, Dikla Gelbard-Solodkin, Neta Degani, Igor Ulitsky

X Demographics

X Demographics

The data shown below were collected from the profiles of 108 X users 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 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 84 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 18%
Researcher 14 17%
Student > Master 11 13%
Student > Bachelor 8 10%
Professor > Associate Professor 5 6%
Other 8 10%
Unknown 23 27%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 33 39%
Agricultural and Biological Sciences 17 20%
Social Sciences 2 2%
Arts and Humanities 1 1%
Computer Science 1 1%
Other 3 4%
Unknown 27 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 59. 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 17 March 2023.
All research outputs
#729,632
of 25,506,250 outputs
Outputs from Genome Biology
#468
of 4,484 outputs
Outputs of similar age
#20,595
of 523,369 outputs
Outputs of similar age from Genome Biology
#14
of 90 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,484 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 89% 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 523,369 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.