Evidence map›Paper›PMID 31798629›Full record

ReviewFrontiers in genetics2019

Leveraging User-Friendly Network Approaches to Extract Knowledge From High-Throughput

Pablo Ivan Pereira Ramos, Luis Willian Pacheco Arge, Nicholas Costa Barroso Lima, Kiyoshi F Fukutani, Artur Trancoso L de Queiroz

Abstract readReview
In one paragraph

Review in Frontiers in genetics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Perspectives in systems nephrology.Cell and tissue research · 2021
    Review
  8. 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

5 authors.

Pablo Ivan Pereira RamosCenter for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.
Luis Willian Pacheco ArgeLaboratório de Genética Molecular e Biotecnologia Vegetal, Centro de Ciências da Saúde, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil.
Nicholas Costa Barroso LimaDepartamento de Bioquímica e Biologia Molecular, Universidade Federal do Ceará, Fortaleza, Brazil.
Kiyoshi F FukutaniMultinational Organization Network Sponsoring Translational and Epidemiological Research (MONSTER) Initiative, Fundação José Silveira, Salvador, Brazil.
Artur Trancoso L de QueirozCenter for Data and Knowledge Integration for Health (CIDACS), Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Recent technological advances for the acquisition of multi-

Indexed as

correlation networksgraphhigh-throughput sequencingnetwork analysisomicsprotein–protein interactionregulatory networkssystems biology

Identifiers

PMID31798629
PMCPMC6863976

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.