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Timeline
Mendeley readers
Chapter title |
A Text Mining and Machine Learning Protocol for Extracting Posttranslational Modifications of Proteins from PubMed: A Special Focus on Glycosylation, Acetylation, Methylation, Hydroxylation, and Ubiquitination
|
---|---|
Chapter number | 10 |
Book title |
Biomedical Text Mining
|
Published by |
Humana, New York, NY, June 2022
|
DOI | 10.1007/978-1-0716-2305-3_10 |
Pubmed ID | |
Book ISBNs |
978-1-07-162304-6, 978-1-07-162305-3
|
Authors |
Krishnamurthy Arumugam, Malathi Sellappan, Dheepa Anand, Sadhanha Anand, Subhashini Vedagiri Radhakrishnan, Arumugam, Krishnamurthy, Sellappan, Malathi, Anand, Dheepa, Anand, Sadhanha, Radhakrishnan, Subhashini Vedagiri |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 3 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 33% |
Student > Master | 1 | 33% |
Unknown | 1 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 33% |
Computer Science | 1 | 33% |
Unknown | 1 | 33% |