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A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis

Overview of attention for article published in Frontiers in Genetics, May 2021
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About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (56th percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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5 X users

Citations

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7 Dimensions

Readers on

mendeley
19 Mendeley
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Title
A Sight on Single-Cell Transcriptomics in Plants Through the Prism of Cell-Based Computational Modeling Approaches: Benefits and Challenges for Data Analysis
Published in
Frontiers in Genetics, May 2021
DOI 10.3389/fgene.2021.652974
Pubmed ID
Authors

Aleksandr Bobrovskikh, Alexey Doroshkov, Stefano Mazzoleni, Fabrizio Cartenì, Francesco Giannino, Ulyana Zubairova

X Demographics

X Demographics

The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 19 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 4 21%
Unspecified 1 5%
Other 1 5%
Student > Ph. D. Student 1 5%
Student > Bachelor 1 5%
Other 2 11%
Unknown 9 47%
Readers by discipline Count As %
Agricultural and Biological Sciences 5 26%
Biochemistry, Genetics and Molecular Biology 2 11%
Unspecified 1 5%
Nursing and Health Professions 1 5%
Design 1 5%
Other 0 0%
Unknown 9 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 3. 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 June 2021.
All research outputs
#9,009,820
of 26,545,486 outputs
Outputs from Frontiers in Genetics
#2,940
of 14,012 outputs
Outputs of similar age
#183,045
of 463,893 outputs
Outputs of similar age from Frontiers in Genetics
#120
of 612 outputs
Altmetric has tracked 26,545,486 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 14,012 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done well, scoring higher than 78% 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 463,893 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.
We're also able to compare this research output to 612 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.