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Experiment design driven FAIRification of omics data matrices, an exemplar

Overview of attention for article published in Scientific Data, December 2019
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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 (92nd percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

Mentioned by

twitter
43 X users

Citations

dimensions_citation
16 Dimensions

Readers on

mendeley
25 Mendeley
Title
Experiment design driven FAIRification of omics data matrices, an exemplar
Published in
Scientific Data, December 2019
DOI 10.1038/s41597-019-0286-0
Pubmed ID
Authors

Philippe Rocca-Serra, Susanna-Assunta Sansone

X Demographics

X Demographics

The data shown below were collected from the profiles of 43 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 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 25 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 5 20%
Other 3 12%
Student > Ph. D. Student 3 12%
Student > Doctoral Student 2 8%
Unspecified 1 4%
Other 3 12%
Unknown 8 32%
Readers by discipline Count As %
Agricultural and Biological Sciences 4 16%
Computer Science 3 12%
Social Sciences 3 12%
Biochemistry, Genetics and Molecular Biology 3 12%
Arts and Humanities 1 4%
Other 3 12%
Unknown 8 32%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 27. 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 23 October 2020.
All research outputs
#1,328,182
of 24,169,085 outputs
Outputs from Scientific Data
#557
of 2,855 outputs
Outputs of similar age
#32,832
of 466,791 outputs
Outputs of similar age from Scientific Data
#29
of 123 outputs
Altmetric has tracked 24,169,085 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,855 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 23.8. This one has done well, scoring higher than 80% 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 466,791 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 92% of its contemporaries.
We're also able to compare this research output to 123 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.