↓ Skip to main content

Experiment design driven FAIRification of omics data matrices, an exemplar

Overview of attention for article published in Scientific Data, December 2019
Altmetric Badge

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 (92nd percentile)
  • High Attention Score compared to outputs of the same age and source (85th percentile)

Mentioned by

twitter
45 tweeters

Citations

dimensions_citation
6 Dimensions

Readers on

mendeley
20 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

Twitter Demographics

The data shown below were collected from the profiles of 45 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 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status Count As %
Other 3 15%
Researcher 3 15%
Student > Ph. D. Student 3 15%
Student > Doctoral Student 2 10%
Student > Master 1 5%
Other 2 10%
Unknown 6 30%
Readers by discipline Count As %
Computer Science 3 15%
Biochemistry, Genetics and Molecular Biology 3 15%
Social Sciences 3 15%
Agricultural and Biological Sciences 2 10%
Veterinary Science and Veterinary Medicine 1 5%
Other 2 10%
Unknown 6 30%

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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
#950,620
of 19,195,752 outputs
Outputs from Scientific Data
#356
of 1,728 outputs
Outputs of similar age
#28,156
of 362,611 outputs
Outputs of similar age from Scientific Data
#45
of 314 outputs
Altmetric has tracked 19,195,752 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,728 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.0. This one has done well, scoring higher than 79% 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 362,611 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 314 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.