Evidence map›Paper›PMID 31396028›Full record

ArticleJournal of applied crystallography2019

BraggNet: integrating Bragg peaks using neural networks.

Brendan Sullivan, Rick Archibald, Jahaun Azadmanesh, Venu Gopal Vandavasi, Patricia S Langan, Leighton Coates, Vickie Lynch, Paul Langan

Abstract read
In one paragraph

Article in Journal of applied crystallography, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing 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

15 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. TheJournal of applied crystallography · 2024
    Article
  6. Article
  7. Article
  8. Review
  9. Explainable machine learning for diffraction patterns.Journal of applied crystallography · 2023
    Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Article
  15. Article
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

8 authors.

Brendan SullivanNeutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.ORCID https://orcid.org/0000-0001-5271-8821
Rick ArchibaldComputer Science and Mathematics Division, Computing and Computational Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.ORCID https://orcid.org/0000-0002-4538-9780
Jahaun AzadmaneshEppley Institute for Research in Cancer and Allied Diseases, University of Nebraska Medical Center, 986805 Nebraska Medical Center, Omaha, Nebraska 68198, USA.ORCID https://orcid.org/0000-0002-3615-7785
Venu Gopal VandavasiNeutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.
Patricia S LanganNeutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.
Leighton CoatesNeutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.ORCID https://orcid.org/0000-0003-2342-049X
Vickie LynchNeutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.
Paul LanganNeutron Scattering Division, Neutron Sciences Directorate, Oak Ridge National Laboratory, 1 Bethel Valley Road, Oak Ridge, TN 37831, USA.

Funding

Computational Tools for Neutron Protein CrystallographyR01GM071939 · NIGMS · UT-BATTELLE, LLC-OAK RIDGE NATIONAL LAB · PI COATES, LEIGHTON · 2004 to 2019
$4.3M
NIGMS NIH HHS R01 GM071939
6 · The paper itself

Abstract

Neutron crystallography offers enormous potential to complement structures from X-ray crystallography by clarifying the positions of low-

Indexed as

computational modellingintegrationmachine learningneural networksneutron crystallography

Identifiers

PMID31396028
PMCPMC6662992

What OpenQuestion holds

Textmetadata
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.