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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 (Online Edition), 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 (82nd percentile)

Mentioned by

twitter
23 tweeters

Citations

dimensions_citation
19 Dimensions

Readers on

mendeley
50 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 (Online Edition), 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

Twitter Demographics

The data shown below were collected from the profiles of 23 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 20 40%
Student > Ph. D. Student 6 12%
Student > Master 4 8%
Student > Doctoral Student 2 4%
Other 2 4%
Other 4 8%
Unknown 12 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 23 46%
Agricultural and Biological Sciences 9 18%
Medicine and Dentistry 4 8%
Computer Science 1 2%
Chemistry 1 2%
Other 0 0%
Unknown 12 24%

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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
#1,954,523
of 18,838,632 outputs
Outputs from Genome Biology (Online Edition)
#1,736
of 3,774 outputs
Outputs of similar age
#52,140
of 298,685 outputs
Outputs of similar age from Genome Biology (Online Edition)
#1
of 1 outputs
Altmetric has tracked 18,838,632 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,774 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.8. This one has gotten more attention than average, scoring higher than 54% 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 298,685 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 82% 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