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Advanced LC–MS-based methods to study the co-occurrence and metabolization of multiple mycotoxins in cereals and cereal-based food

Overview of attention for article published in Analytical & Bioanalytical Chemistry, December 2017
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (71st percentile)
  • High Attention Score compared to outputs of the same age and source (90th percentile)

Mentioned by

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9 X users

Citations

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119 Dimensions

Readers on

mendeley
172 Mendeley
Title
Advanced LC–MS-based methods to study the co-occurrence and metabolization of multiple mycotoxins in cereals and cereal-based food
Published in
Analytical & Bioanalytical Chemistry, December 2017
DOI 10.1007/s00216-017-0750-7
Pubmed ID
Authors

Alexandra Malachová, Milena Stránská, Marta Václavíková, Christopher T. Elliott, Connor Black, Julie Meneely, Jana Hajšlová, Chibundu N. Ezekiel, Rainer Schuhmacher, Rudolf Krska

X Demographics

X Demographics

The data shown below were collected from the profiles of 9 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 172 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 172 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 31 18%
Researcher 27 16%
Student > Master 15 9%
Student > Bachelor 10 6%
Student > Doctoral Student 8 5%
Other 21 12%
Unknown 60 35%
Readers by discipline Count As %
Agricultural and Biological Sciences 34 20%
Chemistry 22 13%
Biochemistry, Genetics and Molecular Biology 8 5%
Pharmacology, Toxicology and Pharmaceutical Science 5 3%
Engineering 5 3%
Other 18 10%
Unknown 80 47%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 30 January 2018.
All research outputs
#6,981,937
of 26,017,215 outputs
Outputs from Analytical & Bioanalytical Chemistry
#1,615
of 9,818 outputs
Outputs of similar age
#126,493
of 454,449 outputs
Outputs of similar age from Analytical & Bioanalytical Chemistry
#14
of 166 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 9,818 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 83% 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 454,449 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.
We're also able to compare this research output to 166 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 90% of its contemporaries.