ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2015
Citation Sentiment Analysis in Clinical Trial Papers.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 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
12 citing papers in PubMed, 42 citations in OpenAlex.
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- A bibliometric review of 35 years of studies about preeclampsia.Frontiers in physiology · 2023Review
- Novel approach for quantitative and qualitative authors research profiling using feature fusion and tree-based learning approach.PeerJ. Computer science · 2023Article
- Validating GAN-BioBERT: A Methodology for Assessing Reporting Trends in Clinical Trials.Frontiers in digital health · 2022Article
- Understanding the nature and scope of clinical research commentaries in PubMed.Journal of the American Medical Informatics Association : JAMIA · 2020Article
- Analysis of Inter-Domain and Cross-Domain Drug Review Polarity Classification.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2020Article
- Confirm or refute?: A comparative study on citation sentiment classification in clinical research publications.Journal of biomedical informatics · 2019Article
- Biomedical text mining for research rigor and integrity: tasks, challenges, directions.Briefings in bioinformatics · 2018Article
- Optimization on machine learning based approaches for sentiment analysis on HPV vaccines related tweets.Journal of biomedical semantics · 2017Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
Abstract
In scientific writing, positive credits and negative criticisms can often be seen in the text mentioning the cited papers, providing useful information about whether a study can be reproduced or not. In this study, we focus on citation sentiment analysis, which aims to determine the sentiment polarity that the citation context carries towards the cited paper. A citation sentiment corpus was annotated first on clinical trial papers. The effectiveness of n-gram and sentiment lexicon features, and problem-specified structure features for citation sentiment analysis were then examined using the annotated corpus. The combined features from the word n-grams, the sentiment lexicons and the structure information achieved the highest Micro F-score of 0.860 and Macro-F score of 0.719, indicating that it is feasible to use machine learning methods for citation sentiment analysis in biomedical publications. A comprehensive comparison between citation sentiment analysis of clinical trial papers and other general domains were conducted, which additionally highlights the unique challenges within this domain.
Indexed as
Identifiers
26958274PMC4765697W2406561316What OpenQuestion holds
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.