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Optimization of a GC-MS method for the profiling of microbiota-dependent metabolites in blood samples: An application to type 2 diabetes and prediabetes

Overview of attention for article published in Frontiers in Molecular Biosciences, September 2022
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2 X users

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13 Mendeley
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Title
Optimization of a GC-MS method for the profiling of microbiota-dependent metabolites in blood samples: An application to type 2 diabetes and prediabetes
Published in
Frontiers in Molecular Biosciences, September 2022
DOI 10.3389/fmolb.2022.982672
Pubmed ID
Authors

Patrycja Mojsak, Katarzyna Maliszewska, Paulina Klimaszewska, Katarzyna Miniewska, Joanna Godzien, Julia Sieminska, Adam Kretowski, Michal Ciborowski

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 13 100%

Demographic breakdown

Readers by professional status Count As %
Student > Postgraduate 2 15%
Student > Bachelor 2 15%
Researcher 2 15%
Other 1 8%
Student > Ph. D. Student 1 8%
Other 0 0%
Unknown 5 38%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 5 38%
Agricultural and Biological Sciences 1 8%
Immunology and Microbiology 1 8%
Medicine and Dentistry 1 8%
Unknown 5 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 20 October 2022.
All research outputs
#19,006,507
of 23,563,389 outputs
Outputs from Frontiers in Molecular Biosciences
#2,107
of 4,104 outputs
Outputs of similar age
#303,656
of 436,821 outputs
Outputs of similar age from Frontiers in Molecular Biosciences
#182
of 423 outputs
Altmetric has tracked 23,563,389 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 4,104 research outputs from this source. They receive a mean Attention Score of 3.3. This one is in the 33rd percentile – i.e., 33% of its peers scored the same or lower than it.
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 436,821 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 423 others from the same source and published within six weeks on either side of this one. This one is in the 45th percentile – i.e., 45% of its contemporaries scored the same or lower than it.