Evidence map›Paper›PMID 30591434›Full record

ArticleG3 (Bethesda, Md.)2019

Generation of

Yu-Shan Li, Ran-Ran Meng, Xiu Chen, Cui-Ling Shang, Hong-Bin Li, Tao-Jun Zhang, Hua-Yang Long, Hui-Qi Li, Yi-Jing Wang, Feng-Chao Wang

Open access · goldAbstract read
In one paragraph

Article in G3 (Bethesda, Md.), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
0.5field-weighted citation impact, top 30% 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

14 citing papers in PubMed, 28 citations in OpenAlex.

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  11. Review
  12. Review
  13. Animal models for COVID-19: advances, gaps and perspectives.Signal transduction and targeted therapy · 2022
    Review
  14. 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

10 authors at 3 institutions in 1 country.

Yu-Shan LiThe School of Public Health, Xinxiang Medical University, Xinxiang, Henan, China 453003.
Ran-Ran MengTransgenic Animal Center, National Institute of Biological Sciences, Beijing, China 102206.
Xiu ChenDepartment of Pharmacy, Heze University, Heze, Shandong, China, 274015.
Cui-Ling ShangDepartment of Reproductive Medicine, The Third Affiliated Hospital of Xinxiang Medical University, Xinxiang, Henan, China 453003.
Hong-Bin LiThe School of Public Health, Xinxiang Medical University, Xinxiang, Henan, China 453003.
Tao-Jun ZhangTransgenic Animal Center, National Institute of Biological Sciences, Beijing, China 102206.
Hua-Yang LongTransgenic Animal Center, National Institute of Biological Sciences, Beijing, China 102206.
Hui-Qi LiTransgenic Animal Center, National Institute of Biological Sciences, Beijing, China 102206.
Yi-Jing WangTransgenic Animal Center, National Institute of Biological Sciences, Beijing, China 102206.
Feng-Chao WangTransgenic Animal Center, National Institute of Biological Sciences, Beijing, China 102206 wangfengchao@nibs.ac.cn.
National Institute of Biological Sciences, Beijing · CNXinxiang Medical University · CNHeze University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The modification of the mouse genome by site-specific gene insertion of transgenes and other genetic elements allows the study of gene function in different developmental stages and in the pathogenesis of diseases. Here, we generated a "genomic safe harbor"

Indexed as

AlbuminsAnimalsDoxycyclineGene Knock-In TechniquesGreen Fluorescent ProteinsLiverMiceMice, TransgenicPromoter Regions, GeneticTrans-ActivatorsTranscriptional ActivationAlbuminsDoxycyclineGreen Fluorescent ProteinsTrans-Activatorsalbumin promoterdoxycyclineHipp11Tet-on system

Identifiers

PMID30591434
PMCPMC6385985
OpenAlexW2906788144

What OpenQuestion 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 OpenQuestion graph.