Evidence map›Paper›PMID 39777914›Full record

ArticleSmall (Weinheim an der Bergstrasse, Germany)2025

CO

Jan Berger, Stephanie Terruzzi, Hana Bunzen, Filippo Ballerini, Marco Vandone, Marcello Marelli, Luca Braglia, Roland A Fischer, Valentina Colombo, Gregor Kieslich

Abstract read
In one paragraph

Article in Small (Weinheim an der Bergstrasse, Germany), 2025. 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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. COSmall (Weinheim an der Bergstrasse, Germany) · 2025
    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

10 authors.

Jan BergerTechnical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Lichtenbergstr. 4, 85748, Garching, Germany.
Stephanie TerruzziDepartment of Chemistry and INSTM, UdR Milano, University of Milan, Via Golgi 19, Milan, 20133, Italy.
Hana BunzenInstitute of Physics, University of Augsburg, Universitätsstr. 1, 86159, Augsburg, Germany.
Filippo BalleriniDepartment of Chemistry and INSTM, UdR Milano, University of Milan, Via Golgi 19, Milan, 20133, Italy.
Marco VandoneDepartment of Chemistry and INSTM, UdR Milano, University of Milan, Via Golgi 19, Milan, 20133, Italy.
Marcello MarelliCNR SCITEC - Istituto di Scienze e Tecnologie Chimiche "Giulio Natta", Via Fantoli 16/15, Milan, 20138, Italy.
Luca BragliaI CNR IOM - Istituto Officina dei Materiali, Basovizza, Trieste, 34149, Italy.
Roland A FischerTechnical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Lichtenbergstr. 4, 85748, Garching, Germany.
Valentina ColomboDepartment of Chemistry and INSTM, UdR Milano, University of Milan, Via Golgi 19, Milan, 20133, Italy.
Gregor KieslichTechnical University of Munich, TUM School of Natural Sciences, Department of Chemistry, Lichtenbergstr. 4, 85748, Garching, Germany.ORCID https://orcid.org/0000-0003-2038-186X

Funding

Deutsche Forschungsgemeinschaft FOR2433the Heisenberg programme 524525093
6 · The paper itself

Abstract

Within the material family of metal-organic frameworks (MOFs) the subclass of flexible MOFs (flexMOFs) has attracted great attention, showing structural flexibility as a response to external stimuli such as guest adsorption, temperature, and pressure. Hybrid composites like nanoparticle (NP) loaded flexible MOFs, which stand to potentially combine advantageous properties of both are yet largely unexplored. Here the synthesis of flexMOFs with surface mounted nanoparticles, e. g. NP@Zn

Indexed as

compositesflexible MOFsmetal–organic frameworksnanoparticles

Identifiers

PMID39777914
PMCPMC11817923

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.