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.
Timeline
Mendeley readers
Chapter title |
PhenoDeep: A Deep Learning-Based Approach for Detecting Reproductive Organs from Digitized Herbarium Specimen Images
|
---|---|
Chapter number | 33 |
Book title |
Neural Information Processing
|
Published by |
Springer, Cham, January 2021
|
DOI | 10.1007/978-3-030-92185-9_33 |
Book ISBNs |
978-3-03-092184-2, 978-3-03-092185-9
|
Authors |
Triki, Abdelaziz, Bouaziz, Bassem, Gaikwad, Jitendra, Mahdi, Walid |
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 > Ph. D. Student | 2 | 29% |
Professor > Associate Professor | 1 | 14% |
Student > Bachelor | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Business, Management and Accounting | 1 | 14% |
Medicine and Dentistry | 1 | 14% |
Unknown | 3 | 43% |