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Scholarly and Research Communication
Article . 2013 . Peer-reviewed
Data sources: Crossref
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Scholarly and Research Communication
Article
License: CC BY NC ND
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Reading Environments for Genetic Editions

Authors: Malte Rehbein; Hans Walter Gabler;

Reading Environments for Genetic Editions

Abstract

This paper discusses the state-of-the-art in digital “genetic” editing, that is the philological analysis (and presentation) of the processes behind the creation of literary texts. Research on such processes is mainly based on draft manuscripts or typescripts that authors have left behind intentionally or accidentally. Creative note-taking, revisions, proof-readings, cross-linkings and additional material makes them a complex and interwoven set of data requiring specific analytic tools and reading and research environments for both general and specialist readers and users to understand them better. The paper traces the idea of pre-electronic genetic editing and the significant changes it is undergoing in the digital era. It compares two editorial projects on renowned authors, one in print and one digital: the so-called ‘Frankfurt edition’ of Friedrich Hölderlin, and the Samuel Beckett Digital Manuscript Project. The paper discusses these in particular as “reading environments” (or user interfaces) designed for “critically experiencing” authorial writing processes in both the print and the digital medium.

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    popularity
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    influence
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    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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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).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
20
Average
Top 10%
Average
gold