Automated Author Profile

Kogoshi, Masayuki

Tokyo University of Science

Current S-Index

0.8

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.2

Average Dataset Index per dataset

Total Datasets

4

Total datasets for this author

Average FAIR Score

84.6%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Additional file 2 of Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation

Additional file 2: Table S2. The ROS peak height and time of Fig. 8a.

Authors

  • Kogoshi, Masayuki ;
  • Nishio, Daiki ;
  • Kitahata, Nobutaka ;
  • Ohwada, Hayato ;
  • Kuchitsu, Kazuyuki ;
  • Mizuno, Hideyuki ;
  • Kurusu, Takamitsu
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.247707042024

Additional file 2 of Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation

Additional file 2: Table S2. The ROS peak height and time of Fig. 8a.

Authors

  • Kogoshi, Masayuki ;
  • Nishio, Daiki ;
  • Kitahata, Nobutaka ;
  • Ohwada, Hayato ;
  • Kuchitsu, Kazuyuki ;
  • Mizuno, Hideyuki ;
  • Kurusu, Takamitsu
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.24770704.v12024

Additional file 1 of Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation

Additional file 1: Table S1. ROS and chemical features data of the library.

Authors

  • Kogoshi, Masayuki ;
  • Nishio, Daiki ;
  • Kitahata, Nobutaka ;
  • Ohwada, Hayato ;
  • Kuchitsu, Kazuyuki ;
  • Mizuno, Hideyuki ;
  • Kurusu, Takamitsu
0 Citations0 Mentions85% FAIR0.3 Dataset Index
10.6084/m9.figshare.247702882023

Additional file 1 of Novel in silico screening system for plant defense activators using deep learning-based prediction of reactive oxygen species accumulation

Additional file 1: Table S1. ROS and chemical features data of the library.

Authors

  • Kogoshi, Masayuki ;
  • Nishio, Daiki ;
  • Kitahata, Nobutaka ;
  • Ohwada, Hayato ;
  • Kuchitsu, Kazuyuki ;
  • Mizuno, Hideyuki ;
  • Kurusu, Takamitsu
0 Citations0 Mentions85% FAIR0.1 Dataset Index
10.6084/m9.figshare.24770288.v12023