↓ Skip to main content

Computational tools and workflows in metabolomics: An international survey highlights the opportunity for harmonisation through Galaxy

Overview of attention for article published in Metabolomics, December 2016
Altmetric Badge

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 (90th percentile)
  • High Attention Score compared to outputs of the same age and source (88th percentile)

Mentioned by

twitter
31 X users

Citations

dimensions_citation
68 Dimensions

Readers on

mendeley
144 Mendeley
citeulike
5 CiteULike
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Computational tools and workflows in metabolomics: An international survey highlights the opportunity for harmonisation through Galaxy
Published in
Metabolomics, December 2016
DOI 10.1007/s11306-016-1147-x
Pubmed ID
Authors

Ralf J. M. Weber, Thomas N. Lawson, Reza M. Salek, Timothy M. D. Ebbels, Robert C. Glen, Royston Goodacre, Julian L. Griffin, Kenneth Haug, Albert Koulman, Pablo Moreno, Markus Ralser, Christoph Steinbeck, Warwick B. Dunn, Mark R. Viant

X Demographics

X Demographics

The data shown below were collected from the profiles of 31 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 144 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
South Africa 1 <1%
Brazil 1 <1%
Unknown 141 98%

Demographic breakdown

Readers by professional status Count As %
Researcher 35 24%
Student > Ph. D. Student 34 24%
Student > Master 23 16%
Student > Bachelor 11 8%
Student > Doctoral Student 7 5%
Other 15 10%
Unknown 19 13%
Readers by discipline Count As %
Agricultural and Biological Sciences 36 25%
Biochemistry, Genetics and Molecular Biology 32 22%
Chemistry 19 13%
Computer Science 11 8%
Medicine and Dentistry 6 4%
Other 17 12%
Unknown 23 16%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 18. 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 14 November 2017.
All research outputs
#1,911,680
of 24,514,423 outputs
Outputs from Metabolomics
#73
of 1,351 outputs
Outputs of similar age
#39,364
of 430,392 outputs
Outputs of similar age from Metabolomics
#4
of 27 outputs
Altmetric has tracked 24,514,423 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,351 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 94% 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 430,392 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 90% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.