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This piece of software is intended to be used with the 11K Latin Texts produced by David Bamman ( http://www.cs.cmu.edu/~dbamman/latin.html ). It supports only the plain text formats and the metadata github repo CSV file. This has been tested with Python3 only. I welcome any new functions or backward compatibility support. Changelog : Fixed documentation Added memory efficiency parameter for most loops. Prevents memory leaks
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 0 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
| views | 25 |

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