Measuring Time-Sensitive and Topic-Specific Influence in Social Networks With LSTM and Self-Attention is a research paper published in IEEE Access (2020). On theSindex it has a DataRank of 0. It has been cited 22 times.
Scored on demand from live citation data
DataRank reads this dataset's downstream impact straight off the citation graph β no black box, no proprietary weighting. How is this computed?
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
We only score data papers we can read in full β never from an abstract alone.
National Institutes of Health
Grant: U01HG008488
National Institute of Allergy and Infectious Diseases
Grant: R56AI125105
National Institute of Allergy and Infectious Diseases
Grant: 7R01AI132030
National Institute of Mental Health
Grant: 5R01MH106415
National Institutes of Health
Grant: 5U01HG008488-02
Mining the Social Web to Monitor Public Health and HIV Risk Behaviors
NIAID NIH HHS
Grant: R01 AI132030
NIMH NIH HHS
Grant: R01 MH106415
FWCI
1.86
Citation Percentile
0.9%
Influential Citations
1
Citation Trend
Fields of Study
Keywords