Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
119 tokens/sec
GPT-4o
56 tokens/sec
Gemini 2.5 Pro Pro
43 tokens/sec
o3 Pro
6 tokens/sec
GPT-4.1 Pro
47 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

The potential of preprints to accelerate scholarly communication - A bibliometric analysis based on selected journals (1306.4856v1)

Published 20 Jun 2013 in cs.DL

Abstract: This paper quantifies to which extent preprints in arXiv accelerate scholarly communication. The following subject fields were investigated up to the year 2012: High Energy Physics (HEP), Mathematics, Astrophysics, Quantitative Biology, and Library and Information Science (LIS). Publication and citation data was downloaded from Scopus and matched with corresponding preprints in arXiv. Furthermore, the INSPIRE HEP database was used to retrieve citation data for papers related to HEP. The bibliometric analysis deals with the growth in numbers of articles published having a previous preprint in arXiv and the publication delay, which is defined as the chronological distance between the deposit of a preprint in arXiv and its formal journal publication. Likewise, the citation delay is analyzed, which describes the time it takes until the first citation of preprints, and articles, respectively. Total citation numbers are compared for sets of articles with a previous preprint and those without. The results show that in all fields but biology a significant citation advantage exists in terms of speed and citation rates for articles with a previous preprint version on arXiv.

User Edit Pencil Streamline Icon: https://streamlinehq.com
Authors (1)
  1. Valeria Aman (2 papers)
Citations (16)

Summary

We haven't generated a summary for this paper yet.