ArticleScientific data2025
An open dataset of EurekAlert! press releases for science communication research.
Article in Scientific data, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- An open dataset of EurekAlert! press releases for science communication research.Scientific data · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Press releases covering novel scientific developments play an important role in science communication. Their number has increased in the past years, making them a valuable object of quantitative analysis in science communication research. However, large-scale research on academic press releases is limited, likely due to the lack of comprehensive and open datasets. In this data paper, we describe how we created a dataset of press releases published on EurekAlert!, an online science news service. The dataset consists of the metadata of a total of 566,566 press releases. We describe how we extracted the data, transformed it into a relational database, and made the code and data openly available to the research community. Next to that, we explain the structure of the dataset and how it can be accessed and propose potential integrations into other research information systems.
Identifiers
What 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.