Evidence map›Paper›PMID 33664662›Full record

ArticleFrontiers in neuroinformatics2021

Knowledge Representation for Multi-Scale Physiology Route Modeling.

Natallia Kokash, Bernard de Bono

Erratum issuedAbstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Bridging mouse and human anatomies; a knowledge-based approach to comparative anatomy for disease model phenotyping.Mammalian genome : official journal of the International Mammalian Genome Society · 2023
    Review
  3. Article
  4. Article
  5. Review
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors.

Natallia KokashPeoples' Friendship University of Russia (RUDN University), Moscow, Russia.
Bernard de BonoAuckland Bioengineering Institute, University of Auckland, Auckland, New Zealand.

Funding

Multi-scale, multi-organ, multi-species SPARC map managementOT3OD025349 · OD · UNIVERSITY OF AUCKLAND · PI HUNTER, PETER JOHN, NICKERSON, DAVID PHILLIP · 2017 to 2024
$16.3M
K-CORE: Curation and Knowledge Management for SPARCOT2OD030541 · OD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI DE BONO, BERNARD, MARTONE, MARYANN E · 2020 to 2024
$10.3M
NIH HHS OT2 OD030541NIH HHS OT3 OD025349
6 · The paper itself

Abstract

We present a framework for the topological and semantic assembly of multiscale physiology route maps. The framework, called ApiNATOMY, consists of a knowledge representation (KR) model and a set of knowledge management (KM) tools. Using examples of ApiNATOMY route maps, we present a KR format that is suitable for the analysis and visualization by KM tools. The conceptual KR model provides a simple method for physiology experts to capture process interactions among anatomical entities. In this paper, we outline the KR model, modeling format, and the KM procedures to translate concise abstraction-based specifications into fully instantiated models of physiology processes.

Indexed as

anatomyconnectivityknowledge managementmulti-scale modelontologyphysiology

Identifiers

PMID33664662
PMCPMC7921311

What OpenQuestion holds

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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.