Evidence map›Paper›PMID 30026557›Full record

ArticleNature communications2018

Assessment of the impact of shared brain imaging data on the scientific literature.

Michael P Milham, R Cameron Craddock, Jake J Son, Michael Fleischmann, Jon Clucas, Helen Xu, Bonhwang Koo, Anirudh Krishnakumar, Bharat B Biswal, F Xavier Castellanos and 4 more

Abstract read
In one paragraph

Article in Nature communications, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 74 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
74citing papers in PubMed, 1 pooled it
–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

74 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Representing Brain-Behavior Associations by Retaining High-Motion Minoritized Youth.Biological psychiatry. Cognitive neuroscience and neuroimaging · 2026
    Article
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  18. Does the use of unusual combinations of datasets contribute to greater scientific impact?Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  19. Review
  20. Article

14 more citing papers are in PubMed but not listed here.

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

14 authors.

Michael P MilhamCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA. Michael.Milham@childmind.org.
R Cameron CraddockCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.
Jake J SonCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.ORCID http://orcid.org/0000-0001-6780-9902
Michael FleischmannCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.
Jon ClucasCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.ORCID http://orcid.org/0000-0001-7590-5806
Helen XuCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.
Bonhwang KooCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.
Anirudh KrishnakumarCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.
Bharat B BiswalDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, 07102, NJ, USA.
F Xavier CastellanosCenter for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, NY, USA.
Stan ColcombeCenter for Biomedical Imaging and Neuromodulation, Nathan S. Kline Institute for Psychiatric Research, New York, 10962, NY, USA.
Adriana Di MartinoDepartment of Child and Adolescent Psychiatry, Hassenfeld Children's Hospital at NYU Langone, New York, 10016, NY, USA.
Xi-Nian ZuoDepartment of Psychology, University of Chinese Academy of Sciences (CAS), Beijing, 100049, China.ORCID http://orcid.org/0000-0001-9110-585X
Arno KleinCenter for the Developing Brain, Child Mind Institute, New York, 10022, NY, USA.

Funding

Neuronal Correlates of Autistic Traits in ADHD and AutismR01MH105506 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2015 to 2019
$3.7M
Longitudinal Discovery of Brain Developmental TrajectoriesU01MH099059 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI MILHAM, MICHAEL PETER · 2013 to 2017
$3.7M
Mapping interindividual variation in the aging connectomeR01AG047596 · NIA · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI COLCOMBE, STAN J, MILHAM, MICHAEL PETER · 2015 to 2019
$3.1M
Discovery Science of Human Brain Function Across the LifespanR01MH094639 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI MILHAM, MICHAEL PETER · 2011 to 2014
$2.7M
Real-time fMRI Neurofeedback Based Stratification of Default Network RegulationR01MH101555 · NIMH · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI CRADDOCK, RICHARD CAMERON · 2013 to 2016
$2.6M
Enhancing the Autism Brain Imaging Data Exchange to Define the Autism ConnectomeR21MH107045 · NIMH · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI DI MARTINO, ADRIANA · 2015 to 2016
$479k
NIA NIH HHS R01 AG047596NIMH NIH HHS R01 MH094639NIMH NIH HHS R01 MH101555NIMH NIH HHS R01 MH105506NIMH NIH HHS R21 MH107045NIMH NIH HHS U01 MH099059
6 · The paper itself

Abstract

Data sharing is increasingly recommended as a means of accelerating science by facilitating collaboration, transparency, and reproducibility. While few oppose data sharing philosophically, a range of barriers deter most researchers from implementing it in practice. To justify the significant effort required for sharing data, funding agencies, institutions, and investigators need clear evidence of benefit. Here, using the International Neuroimaging Data-sharing Initiative, we present a case study that provides direct evidence of the impact of open sharing on brain imaging data use and resulting peer-reviewed publications. We demonstrate that openly shared data can increase the scale of scientific studies conducted by data contributors, and can recruit scientists from a broader range of disciplines. These findings dispel the myth that scientific findings using shared data cannot be published in high-impact journals, suggest the transformative power of data sharing for accelerating science, and underscore the need for implementing data sharing universally.

Indexed as

BibliometricsInformation DisseminationBrainDatabases, FactualHumansNeuroimagingPeriodicals as TopicReproducibility of Results

Identifiers

PMID30026557
PMCPMC6053414

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.