Evidence map›Paper›PMID 26876718›Full record

ReviewGenomics, proteomics & bioinformatics2016

Translational Bioinformatics: Past, Present, and Future.

Jessica D Tenenbaum

Abstract readReview
In one paragraph

Review in Genomics, proteomics & bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Research progress on biomarkers of traumatic brain injury.Animal models and experimental medicine · 2026
    Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Translational Informatics for Natural Products as Antidepressant Agents.Frontiers in cell and developmental biology · 2021
    Review
  9. Review
  10. Translating Social Determinants of Health into Standardized Clinical Entities.Studies in health technology and informatics · 2020
    Article
  11. Review
  12. ExtensiveScientifica · 2020
    Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Review
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

1 author.

Jessica D TenenbaumDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC 27710, USA. Electronic address: jessie.tenenbaum@duke.edu.

Funding

Duke CTSA (Composite)UL1TR001117 · NCATS · DUKE UNIVERSITY · PI BOULWARE, LEIGH E, LI, JENNIFER S · 2013 to 2017
$41.3M
NCATS NIH HHS UL1 TR001117NCATS NIH HHS UL1TR001117
6 · The paper itself

Abstract

Though a relatively young discipline, translational bioinformatics (TBI) has become a key component of biomedical research in the era of precision medicine. Development of high-throughput technologies and electronic health records has caused a paradigm shift in both healthcare and biomedical research. Novel tools and methods are required to convert increasingly voluminous datasets into information and actionable knowledge. This review provides a definition and contextualization of the term TBI, describes the discipline's brief history and past accomplishments, as well as current foci, and concludes with predictions of future directions in the field.

Indexed as

Computational BiologyBiomarkersBiomedical ResearchDatabases, FactualGenome-Wide Association StudyGenomicsHumansPrecision MedicineBiomarkersBiomarkersGenomicsPersonalized medicinePrecision medicineTranslational bioinformatics

Identifiers

PMID26876718
PMCPMC4792852

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.