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Nano-Sampling and Reporter Tools to Study Metabolic Regulation in Zebrafish

Overview of attention for article published in Frontiers in Cell and Developmental Biology, February 2019
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1 X user

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37 Mendeley
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Title
Nano-Sampling and Reporter Tools to Study Metabolic Regulation in Zebrafish
Published in
Frontiers in Cell and Developmental Biology, February 2019
DOI 10.3389/fcell.2019.00015
Pubmed ID
Authors

Thomas Dickmeis, Yi Feng, Maria Caterina Mione, Nikolay Ninov, Massimo Santoro, Herman P. Spaink, Philipp Gut

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 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 12 32%
Researcher 10 27%
Student > Master 3 8%
Student > Bachelor 2 5%
Other 1 3%
Other 1 3%
Unknown 8 22%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 19%
Agricultural and Biological Sciences 7 19%
Engineering 5 14%
Medicine and Dentistry 4 11%
Immunology and Microbiology 3 8%
Other 2 5%
Unknown 9 24%
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 19 February 2019.
All research outputs
#20,554,592
of 23,130,383 outputs
Outputs from Frontiers in Cell and Developmental Biology
#6,168
of 9,183 outputs
Outputs of similar age
#303,924
of 352,633 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#36
of 51 outputs
Altmetric has tracked 23,130,383 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 9,183 research outputs from this source. They receive a mean Attention Score of 3.4. 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 352,633 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 51 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.