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Identification of novel cerebellar developmental transcriptional regulators with motif activity analysis

Overview of attention for article published in BMC Genomics, September 2019
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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)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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18 X users

Citations

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13 Dimensions

Readers on

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25 Mendeley
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Title
Identification of novel cerebellar developmental transcriptional regulators with motif activity analysis
Published in
BMC Genomics, September 2019
DOI 10.1186/s12864-019-6063-9
Pubmed ID
Authors

Thomas J. Ha, Peter G. Y. Zhang, Remi Robert, Joanna Yeung, Douglas J. Swanson, Anthony Mathelier, Wyeth W. Wasserman, Sujin Im, Masayoshi Itoh, Hideya Kawaji, Timo Lassmann, Carsten O. Daub, Erik Arner, Piero Carninci, Yoshihide Hayashizaki, Alistair R. R. Forrest, Daniel Goldowitz

X Demographics

X Demographics

The data shown below were collected from the profiles of 18 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 6 24%
Student > Ph. D. Student 6 24%
Student > Master 3 12%
Student > Bachelor 2 8%
Lecturer > Senior Lecturer 1 4%
Other 3 12%
Unknown 4 16%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 8 32%
Agricultural and Biological Sciences 5 20%
Neuroscience 3 12%
Medicine and Dentistry 2 8%
Computer Science 1 4%
Other 2 8%
Unknown 4 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 10. 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 August 2021.
All research outputs
#3,567,317
of 25,506,250 outputs
Outputs from BMC Genomics
#1,208
of 11,272 outputs
Outputs of similar age
#69,443
of 353,779 outputs
Outputs of similar age from BMC Genomics
#11
of 136 outputs
Altmetric has tracked 25,506,250 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,272 research outputs from this source. They receive a mean Attention Score of 4.8. 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 353,779 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 136 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.