Evidence map›Paper›PMID 30175148›Full record

ArticleBioMed research international2018

Development of Quantitative Real-Time PCR Assays for Rapid and Sensitive Detection of Two

Sheng-Ren Sun, Kashif Ahmad, Xiao-Bin Wu, Jian-Sheng Chen, Hua-Ying Fu, Mei-Ting Huang, San-Ji Gao

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
3.0field-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

3 citing papers in PubMed, 10 citations in OpenAlex.

  1. Review
  2. Article
  3. 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

7 authors at 2 institutions in 1 country.

Sheng-Ren SunNational Engineering Research Center for Sugarcane, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
Kashif AhmadNational Engineering Research Center for Sugarcane, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
Xiao-Bin WuGuangzhou Sugarcane Industry Research Institute, Guangzhou 510316, Guangdong, China.
Jian-Sheng ChenNational Engineering Research Center for Sugarcane, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
Hua-Ying FuNational Engineering Research Center for Sugarcane, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
Mei-Ting HuangNational Engineering Research Center for Sugarcane, Fujian Agricultural and Forestry University, Fuzhou 350002, China.
San-Ji GaoNational Engineering Research Center for Sugarcane, Fujian Agricultural and Forestry University, Fuzhou 350002, China.ORCID 0000-0003-3442-8470
Fujian Agriculture and Forestry University · CNGuangdong Food Industry Research Institute · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sugarcane-infecting badnaviruses (sugarcane bacilliform viruses, SCBVs) represent a genetically heterogeneous species complex, posing a serious threat to the yield and quality of sugarcane in all major producing regions. SCBVs are commonly transmitted across regions by the exchange of sugarcane germplasm. In this study, we develop two quick, sensitive, and reliable protocols for real-time quantitative PCR (qPCR) of

Indexed as

Real-Time Polymerase Chain ReactionBadnavirusChinaSaccharumSensitivity and Specificity

Identifiers

PMID30175148
PMCPMC6106854
OpenAlexW2887353004

What Socratic 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 Socratic graph.