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treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses

Overview of attention for article published in Genome Biology, May 2021
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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 (90th percentile)
  • Average Attention Score compared to outputs of the same age and source

Mentioned by

twitter
42 X users

Citations

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16 Dimensions

Readers on

mendeley
54 Mendeley
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Title
treeclimbR pinpoints the data-dependent resolution of hierarchical hypotheses
Published in
Genome Biology, May 2021
DOI 10.1186/s13059-021-02368-1
Pubmed ID
Authors

Ruizhu Huang, Charlotte Soneson, Pierre-Luc Germain, Thomas S.B. Schmidt, Christian Von Mering, Mark D. Robinson

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 42 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 54 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 12 22%
Student > Ph. D. Student 12 22%
Unspecified 5 9%
Student > Master 5 9%
Student > Bachelor 4 7%
Other 2 4%
Unknown 14 26%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 18 33%
Agricultural and Biological Sciences 7 13%
Unspecified 5 9%
Immunology and Microbiology 3 6%
Mathematics 2 4%
Other 3 6%
Unknown 16 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 22. 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 21 October 2021.
All research outputs
#1,807,838
of 26,411,386 outputs
Outputs from Genome Biology
#1,428
of 4,635 outputs
Outputs of similar age
#44,835
of 462,115 outputs
Outputs of similar age from Genome Biology
#51
of 99 outputs
Altmetric has tracked 26,411,386 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,635 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.5. This one has gotten more attention than average, scoring higher than 69% 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 462,115 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 90% of its contemporaries.
We're also able to compare this research output to 99 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.