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A Large-Scale and Serverless Computational Approach for Improving Quality of NGS Data Supporting Big Multi-Omics Data Analyses

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

  • Average Attention Score compared to outputs of the same age
  • Good Attention Score compared to outputs of the same age and source (76th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
3 Dimensions

Readers on

mendeley
17 Mendeley
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Title
A Large-Scale and Serverless Computational Approach for Improving Quality of NGS Data Supporting Big Multi-Omics Data Analyses
Published in
Frontiers in Genetics, July 2021
DOI 10.3389/fgene.2021.699280
Pubmed ID
Authors

Dariusz Mrozek, Krzysztof Stępień, Piotr Grzesik, Bożena Małysiak-Mrozek

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 17 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 3 18%
Other 1 6%
Student > Ph. D. Student 1 6%
Student > Bachelor 1 6%
Student > Master 1 6%
Other 1 6%
Unknown 9 53%
Readers by discipline Count As %
Philosophy 1 6%
Arts and Humanities 1 6%
Pharmacology, Toxicology and Pharmaceutical Science 1 6%
Biochemistry, Genetics and Molecular Biology 1 6%
Agricultural and Biological Sciences 1 6%
Other 4 24%
Unknown 8 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 15 July 2024.
All research outputs
#15,767,531
of 26,264,723 outputs
Outputs from Frontiers in Genetics
#3,839
of 13,881 outputs
Outputs of similar age
#218,533
of 450,704 outputs
Outputs of similar age from Frontiers in Genetics
#162
of 733 outputs
Altmetric has tracked 26,264,723 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,881 research outputs from this source. They receive a mean Attention Score of 3.8. This one has gotten more attention than average, scoring higher than 70% 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 450,704 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 733 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.