Is preprint the future of science? A thirty year journey of online preprint services

• URL: http://arxiv.org/abs/2102.09066v1
• Date: Wed, 17 Feb 2021 23:08:01 GMT
• Title: Is preprint the future of science? A thirty year journey of online preprint services
• Authors: Boya Xie, Zhihong Shen, Kuansan Wang
• Abstract summary: Preprint is a version of a scientific paper that is publicly distributed preceding formal peer review. Since the launch of arXiv in 1991, preprints have been increasingly distributed over the Internet as opposed to paper copies.
• Score: 7.063908865620109
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: Preprint is a version of a scientific paper that is publicly distributed preceding formal peer review. Since the launch of arXiv in 1991, preprints have been increasingly distributed over the Internet as opposed to paper copies. It allows open online access to disseminate the original research within a few days, often at a very low operating cost. This work overviews how preprint has been evolving and impacting the research community over the past thirty years alongside the growth of the Web. In this work, we first report that the number of preprints has exponentially increased 63 times in 30 years, although it only accounts for 4% of research articles. Second, we quantify the benefits that preprints bring to authors: preprints reach an audience 14 months earlier on average and associate with five times more citations compared with a non-preprint counterpart. Last, to address the quality concern of preprints, we discover that 41% of preprints are ultimately published at a peer-reviewed destination, and the published venues are as influential as papers without a preprint version. Additionally, we discuss the unprecedented role of preprints in communicating the latest research data during recent public health emergencies. In conclusion, we provide quantitative evidence to unveil the positive impact of preprints on individual researchers and the community. Preprints make scholarly communication more efficient by disseminating scientific discoveries more rapidly and widely with the aid of Web technologies. The measurements we present in this study can help researchers and policymakers make informed decisions about how to effectively use and responsibly embrace a preprint culture.

Related papers

• Mapping the Increasing Use of LLMs in Scientific Papers [99.67983375899719]
  We conduct the first systematic, large-scale analysis across 950,965 papers published between January 2020 and February 2024 on the arXiv, bioRxiv, and Nature portfolio journals. Our findings reveal a steady increase in LLM usage, with the largest and fastest growth observed in Computer Science papers.
  arXiv  Detail & Related papers  (2024-04-01T17:45:15Z)
• Forecasting high-impact research topics via machine learning on evolving knowledge graphs [0.8158530638728501]
  We show how to predict the impact of onsets of ideas that have never been published by researchers. We developed a large evolving knowledge graph built from more than 21 million scientific papers.
  arXiv  Detail & Related papers  (2024-02-13T18:09:38Z)
• How many preprints have actually been printed and why: a case study of computer science preprints on arXiv [9.783989953810725]
  We quantify how many preprints have eventually been printed in peer-reviewed venues. Among those published manuscripts, some are published under different titles and without an update to their preprints on arXiv. In the field of computer science, published preprints feature adequate revisions, multiple authorship, detailed abstract and introduction, extensive and authoritative references and available source code.
  arXiv  Detail & Related papers  (2023-08-03T17:56:16Z)
• Estimating the Causal Effect of Early ArXiving on Paper Acceptance [56.538813945721685]
  We estimate the effect of arXiving a paper before the reviewing period (early arXiving) on its acceptance to the conference. Our results suggest that early arXiving may have a small effect on a paper's chances of acceptance.
  arXiv  Detail & Related papers  (2023-06-24T07:45:38Z)
• The Semantic Reader Project: Augmenting Scholarly Documents through AI-Powered Interactive Reading Interfaces [54.2590226904332]
  We describe the Semantic Reader Project, a effort across multiple institutions to explore automatic creation of dynamic reading interfaces for research papers. Ten prototype interfaces have been developed and more than 300 participants and real-world users have shown improved reading experiences. We structure this paper around challenges scholars and the public face when reading research papers.
  arXiv  Detail & Related papers  (2023-03-25T02:47:09Z)
• On the Effect of Anticipation on Reading Times [84.27103313675342]
  We operationalize anticipation as a word's contextual entropy. We find substantial evidence for effects of contextual entropy over surprisal on a word's reading time.
  arXiv  Detail & Related papers  (2022-11-25T18:58:23Z)
• Learning to Drive on the Wrong Side of the Road: How American Computing Came to Rely on Conferences for Primary Publication [1.0660480034605242]
  This paper presents the first systematic investigation of the development of modern computing publications. It relies on semi-structured interviews with eight computing professors from diverse backgrounds to understand how researchers experienced changes in publication culture over time.
  arXiv  Detail & Related papers  (2021-09-14T04:59:09Z)
• A Measure of Research Taste [91.3755431537592]
  We present a citation-based measure that rewards both productivity and taste. The presented measure, CAP, balances the impact of publications and their quantity. We analyze the characteristics of CAP for highly-cited researchers in biology, computer science, economics, and physics.
  arXiv  Detail & Related papers  (2021-05-17T18:01:47Z)
• Preprints as accelerator of scholarly communication: An empirical analysis in Mathematics [9.899221738408581]
  We measure two effects associated with preprint publishing: publication delay and impact. Article with preprint versions are more likely to be mentioned in social media and have shorter Altmetric attention delay.
  arXiv  Detail & Related papers  (2020-11-24T07:32:35Z)
• ArXiving Before Submission Helps Everyone [38.09600429721343]
  We analyze the pros and cons of arXiving papers. We see no reasons why anyone but the authors should decide whether to arXiv or not.
  arXiv  Detail & Related papers  (2020-10-11T22:26:44Z)
• Towards Palmprint Verification On Smartphones [62.279124220123286]
  Studies in the past two decades have shown that palmprints have outstanding merits in uniqueness and permanence. We built a DCNN-based palmprint verification system named DeepMPV+ for smartphones. The efficiency and efficacy of DeepMPV+ have been corroborated by extensive experiments.
  arXiv  Detail & Related papers  (2020-03-30T08:31:03Z)

This list is automatically generated from the titles and abstracts of the papers in this site.

This site does not guarantee the quality of this site (including all information) and is not responsible for any consequences.