ArticleScientific reports2014
Network-based statistical comparison of citation topology of bibliographic databases.
Article in Scientific reports, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed.
- Mapping human augmentation technologies for societal impact: A multilevel framework for classification and innovation potential.PloS one · 2026Article
- Academic Publication of Neurodegenerative Diseases From a Bibliographic Perspective: A Comparative Scientometric Analysis.Frontiers in aging neuroscience · 2021Article
- Adherence to reporting guidelines increases the number of citations: the argument for including a methodologist in the editorial process and peer-review.BMC medical research methodology · 2019Article
- Evaluating the impact of citations of articles based on knowledge flow patterns hidden in the citations.PloS one · 2019Article
- On entropy research analysis: cross-disciplinary knowledge transfer.Scientometrics · 2018Article
- Detecting trends in academic research from a citation network using network representation learning.PloS one · 2018Article
- A Unified Framework for Complex Networks with Degree Trichotomy Based on Markov Chains.Scientific reports · 2017Article
- Exploring Spatio-temporal Dynamics of Cellular Automata for Pattern Recognition in Networks.Scientific reports · 2016Article
- Quantifying the consistency of scientific databases.PloS one · 2015Article
- Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Modern bibliographic databases provide the basis for scientific research and its evaluation. While their content and structure differ substantially, there exist only informal notions on their reliability. Here we compare the topological consistency of citation networks extracted from six popular bibliographic databases including Web of Science, CiteSeer and arXiv.org. The networks are assessed through a rich set of local and global graph statistics. We first reveal statistically significant inconsistencies between some of the databases with respect to individual statistics. For example, the introduced field bow-tie decomposition of DBLP Computer Science Bibliography substantially differs from the rest due to the coverage of the database, while the citation information within arXiv.org is the most exhaustive. Finally, we compare the databases over multiple graph statistics using the critical difference diagram. The citation topology of DBLP Computer Science Bibliography is the least consistent with the rest, while, not surprisingly, Web of Science is significantly more reliable from the perspective of consistency. This work can serve either as a reference for scholars in bibliometrics and scientometrics or a scientific evaluation guideline for governments and research agencies.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.