Evidence map›Paper›PMID 28717590›Full record

ArticlePeerJ2017

Construction of a

Sunniva Katharina Thode, Cecilie Bækkedal, Jenny Johansson Söderberg, Erik Hjerde, Hilde Hansen, Peik Haugen

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.5field-weighted citation impact, top 15% of its field
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

4 citing papers in PubMed, 9 citations in OpenAlex.

  1. Transcriptomic Response of the Diazotrophic BacteriaInternational journal of molecular sciences · 2022
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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

6 authors at 1 institution in 1 country.

Sunniva Katharina ThodeDepartment of Chemistry and The Norwegian Structural Biology Centre, Faculty of Science and Technology, UiTThe Arctic University of Norway, Tromsø, Norway.
Cecilie BækkedalDepartment of Chemistry and The Norwegian Structural Biology Centre, Faculty of Science and Technology, UiTThe Arctic University of Norway, Tromsø, Norway.
Jenny Johansson SöderbergDepartment of Chemistry and The Norwegian Structural Biology Centre, Faculty of Science and Technology, UiTThe Arctic University of Norway, Tromsø, Norway.
Erik HjerdeDepartment of Chemistry and The Norwegian Structural Biology Centre, Faculty of Science and Technology, UiTThe Arctic University of Norway, Tromsø, Norway.
Hilde HansenDepartment of Chemistry and The Norwegian Structural Biology Centre, Faculty of Science and Technology, UiTThe Arctic University of Norway, Tromsø, Norway.
Peik HaugenDepartment of Chemistry and The Norwegian Structural Biology Centre, Faculty of Science and Technology, UiTThe Arctic University of Norway, Tromsø, Norway.
UiT The Arctic University of Norway · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe ferric uptake regulator (Fur) is a transcription factor and the main regulator of iron acquisition in prokaryotes. When bound to ferric iron, Fur recognizes its DNA binding site and generally executes its function by repressing transcription of its target genes. Due to its importance in virulence, the Fur regulon is well studied for several model bacteria. In our previous work, we used computational predictions and microarray to gain insights into Fur-regulation in

resultsAn

conclusionThe present work provides by far the most comprehensive and deepest understanding of the Fur regulon in

Indexed as

Aliivibrio salmonicidaFerric uptake regulatorFurGene dosage effectIron homeostasisRNA-sequencingRyhBSmall regulatory RNAssRNAs

Identifiers

PMID28717590
PMCPMC5511505
OpenAlexW2734488293

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.