Evidence map›Paper›PMID 37186599›Full record

ArticlePloS one2023

Across atoms to crossing continents: Application of similarity measures to biological location data.

Fabian Schuhmann, Leonie Ryvkin, James D McLaren, Luca Gerhards, Ilia A Solov'yov

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
2.2field-weighted citation impact, top 13% of its field
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

6 citing papers in PubMed, 9 citations in OpenAlex.

  1. Article
  2. TS2CG as a Membrane Builder.Journal of chemical theory and computation · 2025
    Article
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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

5 authors at 2 institutions in 2 countries.

Fabian SchuhmannDepartment of Physics, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0000-0002-3768-6494
Leonie RyvkinDepartment of Mathematics & Computer Science, Technische Universiteit Eindhoven, Eindhoven, Netherlands.ORCID 0000-0002-7036-1341
James D McLarenInstitute of Chemistry and Marine Biology, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Luca GerhardsDepartment of Physics, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.
Ilia A Solov'yovDepartment of Physics, Carl von Ossietzky Universität Oldenburg, Oldenburg, Germany.ORCID 0000-0002-8626-145X
Carl von Ossietzky Universität Oldenburg · DEEindhoven University of Technology · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Biological processes involve movements across all measurable scales. Similarity measures can be applied to compare and analyze these movements but differ in how differences in movement are aggregated across space and time. The present study reviews frequently-used similarity measures, such as the Hausdorff distance, Fréchet distance, Dynamic Time Warping, and Longest Common Subsequence, jointly with several measures less used in biological applications (Wasserstein distance, weak Fréchet distance, and Kullback-Leibler divergence), and provides computational tools for each of them that may be used in computational biology. We illustrate the use of the selected similarity measures in diagnosing differences within two extremely contrasting sets of biological data, which, remarkably, may both be relevant for magnetic field perception by migratory birds. Specifically, we assess and discuss cryptochrome protein conformational dynamics and extreme migratory trajectories of songbirds between Alaska and Africa. We highlight how similarity measures contrast regarding computational complexity and discuss those which can be useful in noise elimination or, conversely, are sensitive to spatiotemporal scales.

Indexed as

MovementSongbirdsAfricaAnimalsComputational BiologyProtein Conformation

Identifiers

PMID37186599
PMCPMC10184918
OpenAlexW4376642872

What OpenQuestion 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 OpenQuestion graph.