Evidence map›Paper›PMID 30459712›Full record

ArticleFrontiers in endocrinology2018

Tissue-Based Mapping of the Fathead Minnow (

Candice Lavelle, Ley Cody Smith, Joseph H Bisesi, Fahong Yu, Cecilia Silva-Sanchez, David Moraga-Amador, Amanda N Buerger, Natàlia Garcia-Reyero, Tara Sabo-Attwood, Nancy D Denslow

Open access · goldAbstract read
In one paragraph

Article in Frontiers in endocrinology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.5field-weighted citation impact, top 37% 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

5 citing papers in PubMed, 9 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. 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 at 3 institutions in 1 country.

Candice LavelleDepartment of Environmental and Global Health, University of Florida, Gainesville, FL, United States.
Ley Cody SmithCenter for Environmental and Human Toxicology, University of Florida, Gainesville, FL, United States.
Joseph H BisesiDepartment of Environmental and Global Health, University of Florida, Gainesville, FL, United States.
Fahong YuInterdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, United States.
Cecilia Silva-SanchezCenter for Environmental and Human Toxicology, University of Florida, Gainesville, FL, United States.
David Moraga-AmadorInterdisciplinary Center for Biotechnology Research, University of Florida, Gainesville, FL, United States.
Amanda N BuergerDepartment of Environmental and Global Health, University of Florida, Gainesville, FL, United States.
Natàlia Garcia-ReyeroEnvironmental Laboratory, US Army Engineer Research & Development Center, Vicksburg, MS, United States.
Tara Sabo-AttwoodDepartment of Environmental and Global Health, University of Florida, Gainesville, FL, United States.
Nancy D DenslowCenter for Environmental and Human Toxicology, University of Florida, Gainesville, FL, United States.
University of Florida · USUniversity of Florida Health · USU.S. Army Engineer Research and Development Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Omics approaches are broadly used to explore endocrine and toxicity-related pathways and functions. Nevertheless, there is still a significant gap in knowledge in terms of understanding the endocrine system and its numerous connections and intricate feedback loops, especially in non-model organisms. The fathead minnow (

Indexed as

endocrine systemfathead minnowproteogenomicsproteometissue-specifictranscriptome

Identifiers

PMID30459712
PMCPMC6232228
OpenAlexW2900215338

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.