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Analysis of endothelial-to-haematopoietic transition at the single cell level identifies cell cycle regulation as a driver of differentiation

Overview of attention for article published in Genome Biology, July 2020
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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 (81st percentile)

Mentioned by

twitter
23 X users

Citations

dimensions_citation
37 Dimensions

Readers on

mendeley
77 Mendeley
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Title
Analysis of endothelial-to-haematopoietic transition at the single cell level identifies cell cycle regulation as a driver of differentiation
Published in
Genome Biology, July 2020
DOI 10.1186/s13059-020-02058-4
Pubmed ID
Authors

Giovanni Canu, Emmanouil Athanasiadis, Rodrigo A. Grandy, Jose Garcia-Bernardo, Paulina M. Strzelecka, Ludovic Vallier, Daniel Ortmann, Ana Cvejic

X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 77 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 22 29%
Student > Ph. D. Student 12 16%
Student > Master 8 10%
Student > Doctoral Student 3 4%
Professor > Associate Professor 3 4%
Other 7 9%
Unknown 22 29%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 31 40%
Agricultural and Biological Sciences 11 14%
Medicine and Dentistry 4 5%
Engineering 2 3%
Business, Management and Accounting 1 1%
Other 4 5%
Unknown 24 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 08 September 2020.
All research outputs
#2,955,992
of 25,387,668 outputs
Outputs from Genome Biology
#2,216
of 4,470 outputs
Outputs of similar age
#77,800
of 432,368 outputs
Outputs of similar age from Genome Biology
#62
of 88 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,470 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 gotten more attention than average, scoring higher than 50% 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 432,368 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 81% of its contemporaries.
We're also able to compare this research output to 88 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.