Name
Title | ||
|---|---|---|
Analyzing the field of bioinformatics with the multi-faceted topic modeling technique. |
Abstract | ||
|---|---|---|
The results of our analysis implies that overtime the field of bioinformatics becomes more interdisciplinary where there is a steady increase in peripheral fields such as conceptual, mathematical, and system biology. These results are confirmed by integrated analysis of topic distribution as well as top ranked keyphrases, authors, and journals. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1186/s12859-017-1640-x | BMC Bioinformatics |
Keywords | Field | DocType |
ACT model,Bioinformatics,Keyphrase extraction,Text mining,Topic modeling | Data science,Interdisciplinarity,Topic structure,Metadata,Content analysis,Latent Dirichlet allocation,Computer science,Bibliometrics,Topic model,Bioinformatics | Journal |
Volume | Issue | ISSN |
18 | 7 | 1471-2105 |
Citations | PageRank | References |
1 | 0.35 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Go Eun Heo | 1 | 60 | 6.71 |
| Keun Young Kang | 2 | 31 | 2.81 |
| Min Song | 3 | 130 | 25.52 |
| Jeong-Hoon Lee | 4 | 291 | 16.06 |