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Predicting cell population-specific gene expression from genomic sequence

Overview of attention for article published in Frontiers in Bioinformatics, March 2024
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (77th percentile)

Mentioned by

twitter
12 X users

Readers on

mendeley
10 Mendeley
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Title
Predicting cell population-specific gene expression from genomic sequence
Published in
Frontiers in Bioinformatics, March 2024
DOI 10.3389/fbinf.2024.1347276
Pubmed ID
Authors

Lieke Michielsen, Marcel J. T. Reinders, Ahmed Mahfouz

X Demographics

X Demographics

The data shown below were collected from the profiles of 12 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 3 30%
Student > Master 3 30%
Researcher 2 20%
Unknown 2 20%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 6 60%
Agricultural and Biological Sciences 1 10%
Medicine and Dentistry 1 10%
Unknown 2 20%
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 12 March 2024.
All research outputs
#5,330,668
of 25,992,468 outputs
Outputs from Frontiers in Bioinformatics
#1
of 1 outputs
Outputs of similar age
#77,902
of 343,154 outputs
Outputs of similar age from Frontiers in Bioinformatics
#1
of 1 outputs
Altmetric has tracked 25,992,468 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 1 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one scored the same or higher as 0 of them.
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 343,154 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 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them