Evidence map›Paper›PMID 36751662›Full record

ArticleChina CDC weekly2022

The Establishment and Application of a Kraken Classifier for

Zhenpeng Li, Bo Pang, Xin Lu, Biao Kan

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in China CDC weekly, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.1field-weighted citation impact, top 47% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. 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

4 authors at 2 institutions in 1 country.

Zhenpeng LiState Key Laboratory of Infectious Disease Prevention and Control; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing Municipality, China.
Bo PangState Key Laboratory of Infectious Disease Prevention and Control; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing Municipality, China.
Xin LuState Key Laboratory of Infectious Disease Prevention and Control; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing Municipality, China.
Biao KanState Key Laboratory of Infectious Disease Prevention and Control; National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing Municipality, China.
National Institute for Communicable Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Methods: In this study, three different customized Kraken databases were used to build three different Kraken classifiers. Complete genome benchmark datasets and simulated draft genome benchmark datasets were constructed. Five-fold cross-validation was used to evaluate the performance of the three different Kraken classifiers by two benchmark datasets. Results: The predictive performance of the classifier based on all National Center for Biotechnology Information plasmids and Discussion: We found building a high-quality customized database as a Kraken classifier to be ideal for the prediction of

Indexed as

Antibiotic resistance genesKrakenPlasmidSalmonella

Identifiers

PMID36751662
PMCPMC9889229
OpenAlexW4312700643

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.