↓ Skip to main content

patRoon: open source software platform for environmental mass spectrometry based non-target screening

Overview of attention for article published in Journal of Cheminformatics, January 2021
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 (91st percentile)
  • High Attention Score compared to outputs of the same age and source (81st percentile)

Mentioned by

blogs
1 blog
twitter
31 tweeters

Citations

dimensions_citation
55 Dimensions

Readers on

mendeley
128 Mendeley
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
patRoon: open source software platform for environmental mass spectrometry based non-target screening
Published in
Journal of Cheminformatics, January 2021
DOI 10.1186/s13321-020-00477-w
Pubmed ID
Authors

Rick Helmus, Thomas L. ter Laak, Annemarie P. van Wezel, Pim de Voogt, Emma L. Schymanski

Twitter Demographics

The data shown below were collected from the profiles of 31 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 128 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 128 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 33 26%
Researcher 19 15%
Student > Master 14 11%
Student > Bachelor 13 10%
Student > Doctoral Student 4 3%
Other 11 9%
Unknown 34 27%
Readers by discipline Count As %
Chemistry 30 23%
Environmental Science 11 9%
Biochemistry, Genetics and Molecular Biology 9 7%
Agricultural and Biological Sciences 7 5%
Engineering 7 5%
Other 19 15%
Unknown 45 35%

Attention Score in Context

This research output has an Altmetric Attention Score of 26. 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 12 March 2022.
All research outputs
#1,198,097
of 21,980,322 outputs
Outputs from Journal of Cheminformatics
#83
of 805 outputs
Outputs of similar age
#41,032
of 489,721 outputs
Outputs of similar age from Journal of Cheminformatics
#14
of 72 outputs
Altmetric has tracked 21,980,322 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 805 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. This one has done well, scoring higher than 89% 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 489,721 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 91% of its contemporaries.
We're also able to compare this research output to 72 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.