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Sampling time-dependent artifacts in single-cell genomics studies

Overview of attention for article published in Genome Biology, May 2020
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About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (95th percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
131 X users
facebook
1 Facebook page

Citations

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58 Dimensions

Readers on

mendeley
119 Mendeley
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Title
Sampling time-dependent artifacts in single-cell genomics studies
Published in
Genome Biology, May 2020
DOI 10.1186/s13059-020-02032-0
Pubmed ID
Authors

Ramon Massoni-Badosa, Giovanni Iacono, Catia Moutinho, Marta Kulis, Núria Palau, Domenica Marchese, Javier Rodríguez-Ubreva, Esteban Ballestar, Gustavo Rodriguez-Esteban, Sara Marsal, Marta Aymerich, Dolors Colomer, Elias Campo, Antonio Julià, José Ignacio Martín-Subero, Holger Heyn

X Demographics

X Demographics

The data shown below were collected from the profiles of 131 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 119 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 28 24%
Student > Ph. D. Student 26 22%
Student > Bachelor 9 8%
Student > Master 9 8%
Student > Postgraduate 6 5%
Other 12 10%
Unknown 29 24%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 47 39%
Agricultural and Biological Sciences 15 13%
Medicine and Dentistry 7 6%
Engineering 4 3%
Immunology and Microbiology 3 3%
Other 10 8%
Unknown 33 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 70. 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 2023.
All research outputs
#619,457
of 25,556,408 outputs
Outputs from Genome Biology
#380
of 4,489 outputs
Outputs of similar age
#19,308
of 419,372 outputs
Outputs of similar age from Genome Biology
#11
of 71 outputs
Altmetric has tracked 25,556,408 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,489 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 done particularly well, scoring higher than 91% 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 419,372 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 95% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 85% of its contemporaries.