Evidence map›Paper›PMID 41768979›Full record

ArticleFrontiers in bioinformatics2026

From signal overload to shared insight: creating and structuring scientific visuals for comprehension and dialogue.

Joost M Bakker, Dirma Janse, Martijn van Overbruggen, Maarten C A van der Sanden

Abstract read
In one paragraph

Article in Frontiers in bioinformatics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Joost M BakkerScicomvisuals BV, Amsterdam, Netherlands.
Dirma JanseStudio Dirma Janse, Amsterdam, Netherlands.
Martijn van OverbruggenNeurath Visuele Communicatie, The Hague, Netherlands.
Maarten C A van der SandenOntwerpatelier LUS, Serooskerke, Netherlands.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Effective communication of scientific content can be challenging due to cognitive overload. This is experienced especially during conferences and poster presentations, where the presence of competing stimuli limits message retention. Scientific visuals offer a means to overcome this limitation by emphasizing the essential components of a narrative in a form that is rapidly and intuitively processed. Rather than serving primarily as demonstrations of complexity or markers of personal accomplishment, scientific visuals should function as tools for idea exchange, enabling broader comprehension and facilitating dialogue. The Gestalt principles are an important guide for the visual creation process. These perceptual principles exploit pre-attentive processing mechanisms that allow viewers to extract essential structure and meaning immediately with minimal conscious effort. Effective development of scientific visuals can be approached in three stages: an initial sketch phase, focused on defining the core content and refining the central message, followed by a design phase and refinement phase, in which form, layout and color are used according to perceptual principles. This structured process ensures that complex narratives can be communicated with clarity and precision. By prioritizing cognitive accessibility over ornamental design, visuals become a central and intrinsic component of scientific discourse, supporting insight generation, fostering dialogue, and contributing to collaborative learning and consecutive knowledge building.

Indexed as

audiencescomprehensiondialoguegestalt principlesinfographics (information design)presentationsscientific visuals

Identifiers

PMID41768979
PMCPMC12946119

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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 Socratic graph.