Evidence map›Paper›PMID 27761327›Full record

ArticlePeerJ2016

Greater than

Daniel G Mulcahy, Kenneth S Macdonald, Seán G Brady, Christopher Meyer, Katharine B Barker, Jonathan Coddington

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.4field-weighted citation impact, top 9% 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

15 citing papers in PubMed, 35 citations in OpenAlex.

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  15. The Global Genome Biodiversity Network (GGBN) Data Standard specification.Database : the journal of biological databases and curation · 2016
    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

6 authors at 1 institution in 1 country.

Daniel G MulcahyGlobal Genome Initiative, National Museum of Natural History, Smithsonian Institution , Washington, DC , USA.
Kenneth S MacdonaldLaboratories of Analytical Biology, National Museum of Natural History, Smithsonian Institution , Washington, DC , USA.
Seán G BradyDepartment of Entomology, National Museum of Natural History, Smithsonian Institution , Washingtion, DC , USA.ORCID 0000-0003-0468-940X
Christopher MeyerDepartment of Invertebrate Zoology, National Museum of Natural History, Smithsonian Institution , Washington, DC , USA.
Katharine B BarkerGlobal Genome Initiative, National Museum of Natural History, Smithsonian Institution , Washington, DC , USA.
Jonathan CoddingtonGlobal Genome Initiative, National Museum of Natural History, Smithsonian Institution, Washington, DC, USA; Department of Entomology, National Museum of Natural History, Smithsonian Institution, Washingtion, DC, USA.
Smithsonian Institution · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advances in biodiversity genomic sequencing will increasingly depend on the availability of DNA samples-and their quantifiable metadata-preserved in large institutional biorepositories that are discoverable to the scientific community. Improvements in sequencing technology constantly provide longer reads, such that longer fragment length, higher molecular weight, and overall "genome-quality" DNA (gDNA) will be desirable. Ideally, biorepositories should publish numerical scale measurements of DNA quality useful to the user community. However, the most widely used technique to evaluate DNA quality, the classic agarose gel, has yet to be quantified. Here we propose a simple and economical method using open source image analysis software to make gDNA gel images quantifiable, and propose percentage of gDNA "greater than

Indexed as

Agarose gelsDNA extractionsGenomic DNATissue preservation

Identifiers

PMID27761327
PMCPMC5068448
OpenAlexW2491486818

What OpenQuestion holds

Textmetadata
LicenceCC0
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.