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CryptoType – Public Datasets for MALDI-TOF-MS Based Differentiation of Cryptococcus neoformans/gattii Complexes

Overview of attention for article published in Frontiers in Cellular and Infection Microbiology, April 2021
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Mentioned by

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1 X user

Citations

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4 Dimensions

Readers on

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10 Mendeley
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Title
CryptoType – Public Datasets for MALDI-TOF-MS Based Differentiation of Cryptococcus neoformans/gattii Complexes
Published in
Frontiers in Cellular and Infection Microbiology, April 2021
DOI 10.3389/fcimb.2021.634382
Pubmed ID
Authors

Mareike Bernhard, Navaporn Worasilchai, Mourine Kangogo, Christine Bii, Wioleta J. Trzaska, Michael Weig, Uwe Groß, Ariya Chindamporn, Oliver Bader

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 10 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 2 20%
Student > Master 2 20%
Student > Ph. D. Student 1 10%
Student > Doctoral Student 1 10%
Unspecified 1 10%
Other 0 0%
Unknown 3 30%
Readers by discipline Count As %
Immunology and Microbiology 2 20%
Pharmacology, Toxicology and Pharmaceutical Science 1 10%
Unspecified 1 10%
Computer Science 1 10%
Biochemistry, Genetics and Molecular Biology 1 10%
Other 0 0%
Unknown 4 40%
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 02 May 2021.
All research outputs
#22,823,736
of 25,443,857 outputs
Outputs from Frontiers in Cellular and Infection Microbiology
#7,652
of 8,110 outputs
Outputs of similar age
#391,172
of 452,971 outputs
Outputs of similar age from Frontiers in Cellular and Infection Microbiology
#359
of 362 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one is in the 1st percentile – i.e., 1% 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 452,971 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 362 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.