Evidence map›Paper›PMID 25995839›Full record

ArticleIUCrJ2015

Operational properties of fluctuation X-ray scattering data.

Erik Malmerberg, Cheryl A Kerfeld, Petrus H Zwart

Abstract read
In one paragraph

Article in IUCrJ, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Article
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  11. Iterative phasing for fluctuation X-ray scattering.Proceedings of the National Academy of Sciences of the United States of America · 2015
    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

3 authors.

Erik MalmerbergPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA ; Department of Plant and Microbial Biology, UC Berkeley, Berkeley, California, USA.
Cheryl A KerfeldPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA ; Department of Plant and Microbial Biology, UC Berkeley, Berkeley, California, USA ; DOE Plant Research Laboratory, Michigan State University, East Lansing, Michigan, USA.
Petrus H ZwartPhysical Biosciences Division, Lawrence Berkeley National Laboratory, Berkeley, California, USA.

Funding

The Development of Computational Methods for Fluctuation Xray ScatteringR01GM109019 · NIGMS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI ZWART, PETRUS H · 2014 to 2018
$1.9M
NIGMS NIH HHS R01 GM109019
6 · The paper itself

Abstract

X-ray scattering images collected on timescales shorter than rotation diffusion times using a (partially) coherent beam result in a significant increase in information content in the scattered data. These measurements, named fluctuation X-ray scattering (FXS), are typically performed on an X-ray free-electron laser (XFEL) and can provide fundamental insights into the structure of biological molecules, engineered nanoparticles or energy-related mesoscopic materials beyond what can be obtained with standard X-ray scattering techniques. In order to understand, use and validate experimental FXS data, the availability of basic data characteristics and operational properties is essential, but has been absent up to this point. In this communication, an intuitive view of the nature of FXS data and their properties is provided, the effect of FXS data on the derived structural models is highlighted, and generalizations of the Guinier and Porod laws that can ultimately be used to plan experiments and assess the quality of experimental data are presented.

Indexed as

biological moleculesfluctuation X-ray scatteringmesoscopic materialsnanoparticlesXFELS

Identifiers

PMID25995839
PMCPMC4420540

What OpenQuestion holds

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LicenceCC BY
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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.