ArticleNature methods2017
Win-win data sharing in neuroscience.
Article in Nature methods, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 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
51 citing papers in PubMed.
- Pennsieve: A Collaborative Platform for Translational Neuroscience and Beyond.Scientific data · 2025Article
- NeuroXiv: AI-powered open databasing and dynamic mining of brain-wide neuron morphometry.Nature methods · 2025Article
- Article
- A multi-modal neuroimaging data release for Meige Syndrome and Facial Paralysis Research.Scientific data · 2025Article
- Principles of intensive human neuroimaging.Trends in neurosciences · 2024Article
- Centering cognitive neuroscience on task demands and generalization.Nature neuroscience · 2024Review
- Accelerating the continuous community sharing of digital neuromorphology data.FASEB bioAdvances · 2024Article
- The Locare workflow: representing neuroscience data locations as geometric objects in 3D brain atlases.Frontiers in neuroinformatics · 2024Article
- Bibliometric analysis of neuroscience publications quantifies the impact of data sharing.Bioinformatics (Oxford, England) · 2023Article
- Review
- Online conversion of reconstructed neural morphologies into standardized SWC format.Nature communications · 2023Article
- Automatic identification of scientific publications describing digital reconstructions of neural morphology.Brain informatics · 2023Article
- Application of quantum machine learning using quantum kernel algorithms on multiclass neuron M-type classification.Scientific reports · 2023Article
- Automatic identification of scientific publications describing digital reconstructions of neural morphology.bioRxiv : the preprint server for biology · 2023Article
- Cell morphologies in the nervous system: Glia steal the limelight.The Journal of comparative neurology · 2023Article
- Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for in silico neuroscience.Briefings in bioinformatics · 2023Article
- Circuit analysis of theNetwork neuroscience (Cambridge, Mass.) · 2023Article
- Machine learning classification reveals robust morphometric biomarker of glial and neuronal arbors.Journal of neuroscience research · 2023Article
- Assisted neuroscience knowledge extraction via machine learning applied to neural reconstruction metadata on NeuroMorpho.Org.Brain informatics · 2022Article
- Article
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
Most neuroscientists have yet to embrace a culture of data sharing. Using our decade-long experience at NeuroMorpho.Org as an example, we discuss how publicly available repositories may benefit data producers and end-users alike. We outline practical recipes for resource developers to maximize the research impact of data sharing platforms for both contributors and users.
Indexed as
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.