You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Single-Response Electronic Tongue and Machine Learning Enable the Multidetermination of Extracellular Vesicle Biomarkers for Cancer Diagnostics Without Recognition Elements
|
---|---|
Chapter number | 6 |
Book title |
Microfluidic Systems for Cancer Diagnosis
|
Published by |
Humana, New York, NY, January 2023
|
DOI | 10.1007/978-1-0716-3271-0_6 |
Book ISBNs |
978-1-07-163270-3, 978-1-07-163271-0
|
Authors |
Nicoliche, Caroline Y. N., da Silva, Giulia S., Gomes-de-Pontes, Leticia, Schleder, Gabriel R., Lima, Renato S. |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 29% |
Unspecified | 1 | 14% |
Researcher | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 2 | 29% |
Biochemistry, Genetics and Molecular Biology | 2 | 29% |
Unspecified | 1 | 14% |
Unknown | 2 | 29% |