Article in Nature methods, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
0numbers the graph read from it
0cells of the map it votes in
2citing 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.
John D WestbrookResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Benjamin M WebbDepartment of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California at San Francisco, San Francisco, California, USA.ORCID http://orcid.org/0000-0003-3360-4540
Thomas-O PeulenMolecular Physical Chemistry, Heinrich Heine University Düsseldorf, Düsseldorf, Germany.
Catherine L LawsonResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Andrej SaliDepartment of Bioengineering and Therapeutic Sciences, Department of Pharmaceutical Chemistry, and California Institute for Quantitative Biosciences, University of California at San Francisco, San Francisco, California, USA.ORCID http://orcid.org/0000-0001-8641-6194
Helen M BermanResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, USA.
Brinda VallatResearch Collaboratory for Structural Bioinformatics Protein Data Bank and the Institute for Quantitative Biomedicine, Rutgers, The State University of New Jersey, Piscataway, NJ, USA. brinda.vallat@rcsb.org.
Funding
TR&D Project 4. The Imaging Stage: Multiscale Spatiotemporal Modeling of Macromolecular Systems in Cellular NeighborhoodsP41GM109824 · NIGMS · ROCKEFELLER UNIVERSITY · PI ROUT, MICHAEL P · 2014 to 2023
$18.8M
IMP: Software for Hybrid Determination of Macromolecular Assembly StructuresR01GM083960 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI SALI, ANDREJ · 2008 to 2024
$5.2M
Deutsche Forschungsgemeinschaft (German Research Foundation) CRC 1208Deutsche Forschungsgemeinschaft (German Research Foundation) SE 1195/17-1EC | EU Framework Programme for Research and Innovation H2020 | H2020 Priority Excellent Science | H2020 European Research Council (H2020 Excellent Science - European Research Council) 671208NIGMS NIH HHS P41 GM109824NIGMS NIH HHS R01 GM083960NSF | BIO | Division of Biological Infrastructure (DBI) DBI-1519158NSF | BIO | Division of Biological Infrastructure (DBI) DBI-1756248NSF | BIO | Division of Biological Infrastructure (DBI) DBI-1756250NSF | BIO | Division of Biological Infrastructure (DBI) DBI-2112966NSF | BIO | Division of Biological Infrastructure (DBI) DBI-2112967U.S. Department of Health ; Human Services | NIH | National Institute of General Medical Sciences (NIGMS) P41GM109824U.S. Department of Health ; Human Services | NIH | National Institute of General Medical Sciences (NIGMS) R01GM083960
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.
Making fluorescence-based integrative structures and associated kinetic information accessible. · full record | OpenQuestion