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A “Numerical Evo-Devo” Synthesis for the Identification of Pattern-Forming Factors

Overview of attention for article published in Cells, August 2020
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20 Mendeley
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Article details
Title
A “Numerical Evo-Devo” Synthesis for the Identification of Pattern-Forming Factors
Published in
Cells, August 2020
DOI 10.3390/cells9081840
Pubmed ID
Authors

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Geographical breakdown
Country Count As %
Unknown 20 100%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 4 20%
Student > Bachelor 2 10%
Student > Master 2 10%
Student > Doctoral Student 1 5%
Professor > Associate Professor 1 5%
Other 1 5%
Unknown 9 45%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 5 25%
Biochemistry, Genetics and Molecular Biology 2 10%
Business, Management and Accounting 2 10%
Computer Science 1 5%
Earth and Planetary Sciences 1 5%
Other 1 5%
Unknown 8 40%