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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
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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 (90th percentile)
  • Good Attention Score compared to outputs of the same age and source (75th percentile)

Mentioned by

blogs
1 blog
twitter
23 X users

Citations

dimensions_citation
125 Dimensions

Readers on

mendeley
175 Mendeley
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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

Timeline

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X Demographics

X Demographics

The data shown below were collected from the profiles of 23 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 175 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 175 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 21%
Researcher 25 14%
Student > Bachelor 19 11%
Student > Master 19 11%
Other 5 3%
Other 12 7%
Unknown 59 34%
Readers by discipline Count As %
Chemistry 39 22%
Environmental Science 19 11%
Biochemistry, Genetics and Molecular Biology 11 6%
Engineering 8 5%
Agricultural and Biological Sciences 7 4%
Other 18 10%
Unknown 73 42%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. 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 18 August 2021.
All research outputs
#1,859,907
of 26,459,924 outputs
Outputs from Journal of Cheminformatics
#125
of 1,029 outputs
Outputs of similar age
#49,823
of 535,928 outputs
Outputs of similar age from Journal of Cheminformatics
#4
of 16 outputs
Altmetric has tracked 26,459,924 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 1,029 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 9.7. This one has done well, scoring higher than 87% 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 535,928 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 16 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 75% of its contemporaries.