@inproceedings{satish-etal-2020-impact,
title = "The impact of preprint servers in the formation of novel ideas",
author = "Satish, Swarup and
Yao, Zonghai and
Drozdov, Andrew and
Veytsman, Boris",
editor = "Chandrasekaran, Muthu Kumar and
de Waard, Anita and
Feigenblat, Guy and
Freitag, Dayne and
Ghosal, Tirthankar and
Hovy, Eduard and
Knoth, Petr and
Konopnicki, David and
Mayr, Philipp and
Patton, Robert M. and
Shmueli-Scheuer, Michal",
booktitle = "Proceedings of the First Workshop on Scholarly Document Processing",
month = nov,
year = "2020",
address = "Online",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/2020.sdp-1.6",
doi = "10.18653/v1/2020.sdp-1.6",
pages = "42--55",
abstract = "We study whether novel ideas in biomedical literature appear first in preprints or traditional journals. We develop a Bayesian method to estimate the time of appearance for a phrase in the literature, and apply it to a number of phrases, both automatically extracted and suggested by experts. We see that presently most phrases appear first in the traditional journals, but there is a number of phrases with the first appearance on preprint servers. A comparison of the general composition of texts from bioRxiv and traditional journals shows a growing trend of bioRxiv being predictive of traditional journals. We discuss the application of the method for related problems.",
}
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%0 Conference Proceedings
%T The impact of preprint servers in the formation of novel ideas
%A Satish, Swarup
%A Yao, Zonghai
%A Drozdov, Andrew
%A Veytsman, Boris
%Y Chandrasekaran, Muthu Kumar
%Y de Waard, Anita
%Y Feigenblat, Guy
%Y Freitag, Dayne
%Y Ghosal, Tirthankar
%Y Hovy, Eduard
%Y Knoth, Petr
%Y Konopnicki, David
%Y Mayr, Philipp
%Y Patton, Robert M.
%Y Shmueli-Scheuer, Michal
%S Proceedings of the First Workshop on Scholarly Document Processing
%D 2020
%8 November
%I Association for Computational Linguistics
%C Online
%F satish-etal-2020-impact
%X We study whether novel ideas in biomedical literature appear first in preprints or traditional journals. We develop a Bayesian method to estimate the time of appearance for a phrase in the literature, and apply it to a number of phrases, both automatically extracted and suggested by experts. We see that presently most phrases appear first in the traditional journals, but there is a number of phrases with the first appearance on preprint servers. A comparison of the general composition of texts from bioRxiv and traditional journals shows a growing trend of bioRxiv being predictive of traditional journals. We discuss the application of the method for related problems.
%R 10.18653/v1/2020.sdp-1.6
%U https://aclanthology.org/2020.sdp-1.6
%U https://doi.org/10.18653/v1/2020.sdp-1.6
%P 42-55
Markdown (Informal)
[The impact of preprint servers in the formation of novel ideas](https://aclanthology.org/2020.sdp-1.6) (Satish et al., sdp 2020)
ACL