Scientific literature: Information overload
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The exponential growth of scientific output exacerbates challenges in peer review.
“These issues are exacerbated by the exponential growth of scientific output (Landhuis, 2016).”
From FLAWS: A Benchmark for Error Identification and Localization in Scientific Papers (2025) · cites this paper as Landhuis, 2016
Researchers increasingly report feeling overwhelmed by the amount of literature they must sift through as part of their regular workflow.
“researchers increasingly report feeling overwhelmed by the amount of literature they must sift through as part of their regular workflow ( 49 )”
From scite: a smart citation index that displays the context of citations and classifies their intent using deep learning (2021) · cites this paper as [49]
Existing peer review processes do not scale well given the rapid growth of AI research communities and of science as a whole.
“Given the rapid growth experienced by AI research communities in particular (Künzli et al., 2022), and by science as a whole (Landhuis, 2016), existing processes do not scale well.”
From What Can Natural Language Processing Do for Peer Review? (2024) · cites this paper as Landhuis, 2016
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“Given the fact that nearly 3 million scientific papers are published every year (Ware & Mabe, 2015), researchers increasingly report feeling overwhelmed by the amount of literature they must sift through as part of their regular workflow (Landhuis, 2016).”
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D’Souza, J., & Auer, S. (2021) · Lecture notes in computer science · doi:10.1007/978-3-030-91669-5_31 · Cited by 8 · see citing works
- Authors
- Landhuis, E.
- Corresponding author
- Landhuis, Esther
- Venue
- Nature
- Published
- 2016-07-20
- Volume
- 535
- Issue
- 7612
- Pages
- 457-458
- ISSN
- 0028-0836 (ISSN-L)
- 1476-4687
- OpenAlex
- W2479527281
- Cited by
- 324
- References
- 0
- Citations by year
- 2026: 34 · 2025: 44 · 2024: 56 · 2023: 47 · 2022: 54 · 2021: 36 · 2020: 31 · 2019: 11 · 2018: 5 · 2017: 4 · 2016: 1
- FWCI
- 13.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Nature (publishedVersion)
- PubMed (publishedVersion)
- RePEc: Research Papers in Economics (submittedVersion)
- Topics
- Social Sciences › Decision Sciences › Information Systems and Management › Personal Information Management and User Behavior
- Social Sciences › Decision Sciences › Information Systems and Management › Academic Publishing and Open Access
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › scientometrics and bibliometrics research
- Keywords
- information overload, scientific publications, research papers, literature management, social media, blogs, science communication
- MeSH terms
- Reading, Research, Research Personnel, Bibliometrics, Blogging, Research Report, Social Media
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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