Evidence map›Paper›PMID 31056898›Full record

ArticleAnalytical chemistry2019

Framework for DNA Quantification and Outlier Detection Using Multidimensional Standard Curves.

Ahmad Moniri, Jesus Rodriguez-Manzano, Kenny Malpartida-Cardenas, Ling-Shan Yu, Xavier Didelot, Alison Holmes, Pantelis Georgiou

Abstract read
In one paragraph

Article in Analytical chemistry, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

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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

7 authors.

Ahmad MoniriCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering , Imperial College London , London SW7 2AZ , U.K.
Jesus Rodriguez-ManzanoCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID 0000-0002-2583-8366
Kenny Malpartida-CardenasCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering , Imperial College London , London SW7 2AZ , U.K.ORCID 0000-0002-3874-8810
Ling-Shan YuCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering , Imperial College London , London SW7 2AZ , U.K.
Xavier DidelotSchool of Life Sciences and Department of Statistics , University of Warwick , Coventry CV4 7AL , U.K.
Alison HolmesNIHR Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance , Imperial College London , Hammersmith Hospital Campus, London W12 0NN , U.K.
Pantelis GeorgiouCentre for Bio-Inspired Technology, Department of Electrical and Electronic Engineering , Imperial College London , London SW7 2AZ , U.K.

Funding

Medical Research Council MC_PC_16046Medical Research Council MR/R015600/1Wellcome Trust
6 · The paper itself

Abstract

Real-time PCR is a highly sensitive and powerful technology for the quantification of DNA and has become the method of choice in microbiology, bioengineering, and molecular biology. Currently, the analysis of real-time PCR data is hampered by only considering a single feature of the amplification profile to generate a standard curve. The current "gold standard" is the cycle-threshold ( C

Indexed as

DNAReal-Time Polymerase Chain ReactionDNA

Identifiers

PMID31056898
PMCPMC6551572

What OpenQuestion holds

Textmetadata
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.