Publishing in High Impact Journals 2019 dec13 | 台大醫學院影音知識庫(測試中)

索引

00:00 1.
Publishing in High Impact Journals
05:23 2.
Slide 2
06:53 3.
Impact Factor Calculation average # of citations published in the journalA = # 2016 and 2017 cited during 2018 by indexed publicationsB = # citable items in 2016 and 2017. (articles, reviews, proceedings, or notes; not editorials or letters to the editor
07:38 4.
Impact Factor Calculation Databases- 23,000 academic and scientific journals (including Web of Science journal listings)- 23,000,000 patents- 110,000 conference proceedings- 9,000 websites- Year 1900 to present day (with Web of Science)- Over 40 millio
10:51 5.
Slide 5
11:05 6.
Slide 6
15:32 7.
Slide 7
16:59 8.
Open Access Journals
23:32 9.
Slide 9
30:53 10.
H-Index: Citation Impact of Publications of a scientist or an entity
34:10 11.
Slide 11
34:23 12.
Slide 12
34:57 13.
Slide 13
37:22 14.
Slide 14
38:04 15.
Slide 15
38:07 16.
Slide 16
40:19 17.
Slide 17
40:34 18.
Slide 18
42:44 19.
Slide 19
43:26 20.
Slide 20
44:29 21.
Slide 21
45:18 22.
Slide 22
46:02 23.
Slide 23
46:06 24.
Knowledge Development Process - verifiable, risky predictions for discovery; - with some difficult elements; - complexity with simple explanations, - captures how the world works, be stored for next human troubles; - sustains with roll-on
47:17 25.
Levels of EvidenceMeta-AnalysesIndividual RCTControlled Trials without Randomization, Case-Control Trials, Within-Subjects 4. Systematic Reviews5. Clinical Observation Studies – Real-time, Repeated-measures, Times-seriesProfessional Guideline
48:55 26.
48:56 27.
48:57 28.
48:58 29.
48:59 30.
Confounding Variables (NR 1993, 42, 276-9)
49:02 31.
Slide 31
49:03 32.
49:15 33.
Epigenetic Factors
49:16 34.
Conceptual Framework: Meta-Prediction Gene-Environment Interactions and Health Risks
49:23 35.
Death Rates from Air Pollution in the World
49:24 36.
49:27 37.
Epigenetics & Precision Medicine, Precision Health & SystemsGene-Environment Interactions: Therapeutic Lifestyle InterventionsFor Population HealthNational Institutes of Health: All of Us Research https://www.joinallofus.org/en/aboutAmerican Association o
49:35 38.
49:40 39.
a renewed vision for new generation of nursing scientists, to conduct cutting-edge research in the key emerging areas of health sciences research omics and the microbiome; health behavior, behavior change, biobehavioral science; patient-reported outcomes
50:33 40.
Scholarly RolesWriting skillsManuscripts and grantsLearning opportunities Mentoring Supportive environment Programs of research-scholarshipConference network, presentationsWork-life balanceConn 2014, WJNR; Kim 2014 JPN; Graves 2018 JNS
51:27 41.
NIH All of Us Research Programto build a national research cohort of n=1 million+ reflecting the diversity of the US, 10-year follow up on individual health, habits, environment, family history, by extending precision medicine to develop more effective pe
53:35 42.
DAVID - Database for Annotation, Visualization, and Integrated Discovery Bioinformatics Resources, KEGG Metabolic PathwayFunctional Interpretation of Genomic Bigdata
54:38 43.
Gene-Environment Interactions: Predictors of CancerModel Comparisons on DomainsConventional vs. Machine-Learning Analytics
54:39 44.
Predictors of Healthy Eating Index (77)- Multi-ethnic Families
55:58 45.
Predictors of Cancer: Gene Metabolites InteractionMulti-ethnic Families
55:59 46.
Predictors of Cancer: Gene Metabolites InteractionModel Comparison
56:27 47.
Key Mechanism for Epigenetics - Nutrigenomics
56:42 48.
Epigenetics-Methylation Cycle, Methyl Donors, Nutrients, Gene Expression, and Histone Modification
56:44 49.
Gene
57:23 50.
Gene expressed – loosened Histone (组蛋白)Chromatin (染色质) protein binding chemistry
57:24 51.
Hypo-Methylation: Differential Methylated RegionsCancer, Family, Obese, Non-Obese Whole Genome
57:25 52.
Glucose transporter proteins GLUT1-5, Insulin Resistance(GLUT1/SLC2A1 promoter, GLUT3/SLC2A3 Intron hypomethylation DNAm, increase expression, Cancer/Control, families/control, obesity/control).
57:26 53.
PMID: 30322146, 2018
57:27 54.
PMID: 30696735 2019
57:28 55.
PMID: 30784572, 2019
57:29 56.
PMID: 30322146, 2018
57:30 57.
Mammalian Target Of Rapamycin (mTOR) ComplexSignaling and Regulation by the Lysosome 溶酶体 and Aging
58:00 58.
Branched Chain Amino Acids, Insulin Resistance
58:01 59.
PMID: 30322146, 2018
58:03 60.
PMID: 30322146, 2018
58:04 61.
Comparison on Healthy Eating Index
1:00:17 62.
Efficient and effective institutions for Excellence

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日期：2019-12-13

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00:00 1.
Publishing in High Impact Journals
05:23 2.
Slide 2
06:53 3.
Impact Factor Calculation average # of citations published in the journalA = # 2016 and 2017 cited during 2018 by indexed publicationsB = # citable items in 2016 and 2017. (articles, reviews, proceedings, or notes; not editorials or letters to the editor
07:38 4.
Impact Factor Calculation Databases- 23,000 academic and scientific journals (including Web of Science journal listings)- 23,000,000 patents- 110,000 conference proceedings- 9,000 websites- Year 1900 to present day (with Web of Science)- Over 40 millio
10:51 5.
Slide 5
11:05 6.
Slide 6
15:32 7.
Slide 7
16:59 8.
Open Access Journals
23:32 9.
Slide 9
30:53 10.
H-Index: Citation Impact of Publications of a scientist or an entity
34:10 11.
Slide 11
34:23 12.
Slide 12
34:57 13.
Slide 13
37:22 14.
Slide 14
38:04 15.
Slide 15
38:07 16.
Slide 16
40:19 17.
Slide 17
40:34 18.
Slide 18
42:44 19.
Slide 19
43:26 20.
Slide 20
44:29 21.
Slide 21
45:18 22.
Slide 22
46:02 23.
Slide 23
46:06 24.
Knowledge Development Process - verifiable, risky predictions for discovery; - with some difficult elements; - complexity with simple explanations, - captures how the world works, be stored for next human troubles; - sustains with roll-on
47:17 25.
Levels of EvidenceMeta-AnalysesIndividual RCTControlled Trials without Randomization, Case-Control Trials, Within-Subjects 4. Systematic Reviews5. Clinical Observation Studies – Real-time, Repeated-measures, Times-seriesProfessional Guideline
48:55 26.
48:56 27.
48:57 28.
48:58 29.
48:59 30.
Confounding Variables (NR 1993, 42, 276-9)
49:02 31.
Slide 31
49:03 32.
49:15 33.
Epigenetic Factors
49:16 34.
Conceptual Framework: Meta-Prediction Gene-Environment Interactions and Health Risks
49:23 35.
Death Rates from Air Pollution in the World
49:24 36.
49:27 37.
Epigenetics & Precision Medicine, Precision Health & SystemsGene-Environment Interactions: Therapeutic Lifestyle InterventionsFor Population HealthNational Institutes of Health: All of Us Research https://www.joinallofus.org/en/aboutAmerican Association o
49:35 38.
49:40 39.
a renewed vision for new generation of nursing scientists, to conduct cutting-edge research in the key emerging areas of health sciences research omics and the microbiome; health behavior, behavior change, biobehavioral science; patient-reported outcomes
50:33 40.
Scholarly RolesWriting skillsManuscripts and grantsLearning opportunities Mentoring Supportive environment Programs of research-scholarshipConference network, presentationsWork-life balanceConn 2014, WJNR; Kim 2014 JPN; Graves 2018 JNS
51:27 41.
NIH All of Us Research Programto build a national research cohort of n=1 million+ reflecting the diversity of the US, 10-year follow up on individual health, habits, environment, family history, by extending precision medicine to develop more effective pe
53:35 42.
DAVID - Database for Annotation, Visualization, and Integrated Discovery Bioinformatics Resources, KEGG Metabolic PathwayFunctional Interpretation of Genomic Bigdata
54:38 43.
Gene-Environment Interactions: Predictors of CancerModel Comparisons on DomainsConventional vs. Machine-Learning Analytics
54:39 44.
Predictors of Healthy Eating Index (77)- Multi-ethnic Families
55:58 45.
Predictors of Cancer: Gene Metabolites InteractionMulti-ethnic Families
55:59 46.
Predictors of Cancer: Gene Metabolites InteractionModel Comparison
56:27 47.
Key Mechanism for Epigenetics - Nutrigenomics
56:42 48.
Epigenetics-Methylation Cycle, Methyl Donors, Nutrients, Gene Expression, and Histone Modification
56:44 49.
Gene
57:23 50.
Gene expressed – loosened Histone (组蛋白)Chromatin (染色质) protein binding chemistry
57:24 51.
Hypo-Methylation: Differential Methylated RegionsCancer, Family, Obese, Non-Obese Whole Genome
57:25 52.
Glucose transporter proteins GLUT1-5, Insulin Resistance(GLUT1/SLC2A1 promoter, GLUT3/SLC2A3 Intron hypomethylation DNAm, increase expression, Cancer/Control, families/control, obesity/control).
57:26 53.
PMID: 30322146, 2018
57:27 54.
PMID: 30696735 2019
57:28 55.
PMID: 30784572, 2019
57:29 56.
PMID: 30322146, 2018
57:30 57.
Mammalian Target Of Rapamycin (mTOR) ComplexSignaling and Regulation by the Lysosome 溶酶体 and Aging
58:00 58.
Branched Chain Amino Acids, Insulin Resistance
58:01 59.
PMID: 30322146, 2018
58:03 60.
PMID: 30322146, 2018
58:04 61.
Comparison on Healthy Eating Index
1:00:17 62.
Efficient and effective institutions for Excellence

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Publishing in High Impact Journals 2019 dec13

長度: 1:15:55, 瀏覽: 828, 最近修訂: 2019-12-13

00:00 1.
Publishing in High Impact Journals
05:23 2.
Slide 2
06:53 3.
Impact Factor Calculation average # of citations published in the journalA = # 2016 and 2017 cited during 2018 by indexed publicationsB = # citable items in 2016 and 2017. (articles, reviews, proceedings, or notes; not editorials or letters to the editor
07:38 4.
Impact Factor Calculation Databases- 23,000 academic and scientific journals (including Web of Science journal listings)- 23,000,000 patents- 110,000 conference proceedings- 9,000 websites- Year 1900 to present day (with Web of Science)- Over 40 millio
10:51 5.
Slide 5
11:05 6.
Slide 6
15:32 7.
Slide 7
16:59 8.
Open Access Journals
23:32 9.
Slide 9
30:53 10.
H-Index: Citation Impact of Publications of a scientist or an entity
34:10 11.
Slide 11
34:23 12.
Slide 12
34:57 13.
Slide 13
37:22 14.
Slide 14
38:04 15.
Slide 15
38:07 16.
Slide 16
40:19 17.
Slide 17
40:34 18.
Slide 18
42:44 19.
Slide 19
43:26 20.
Slide 20
44:29 21.
Slide 21
45:18 22.
Slide 22
46:02 23.
Slide 23
46:06 24.
Knowledge Development Process - verifiable, risky predictions for discovery; - with some difficult elements; - complexity with simple explanations, - captures how the world works, be stored for next human troubles; - sustains with roll-on
47:17 25.
Levels of EvidenceMeta-AnalysesIndividual RCTControlled Trials without Randomization, Case-Control Trials, Within-Subjects 4. Systematic Reviews5. Clinical Observation Studies – Real-time, Repeated-measures, Times-seriesProfessional Guideline
48:55 26.
48:56 27.
48:57 28.
48:58 29.
48:59 30.
Confounding Variables (NR 1993, 42, 276-9)
49:02 31.
Slide 31
49:03 32.
49:15 33.
Epigenetic Factors
49:16 34.
Conceptual Framework: Meta-Prediction Gene-Environment Interactions and Health Risks
49:23 35.
Death Rates from Air Pollution in the World
49:24 36.
49:27 37.
Epigenetics & Precision Medicine, Precision Health & SystemsGene-Environment Interactions: Therapeutic Lifestyle InterventionsFor Population HealthNational Institutes of Health: All of Us Research https://www.joinallofus.org/en/aboutAmerican Association o
49:35 38.
49:40 39.
a renewed vision for new generation of nursing scientists, to conduct cutting-edge research in the key emerging areas of health sciences research omics and the microbiome; health behavior, behavior change, biobehavioral science; patient-reported outcomes
50:33 40.
Scholarly RolesWriting skillsManuscripts and grantsLearning opportunities Mentoring Supportive environment Programs of research-scholarshipConference network, presentationsWork-life balanceConn 2014, WJNR; Kim 2014 JPN; Graves 2018 JNS
51:27 41.
NIH All of Us Research Programto build a national research cohort of n=1 million+ reflecting the diversity of the US, 10-year follow up on individual health, habits, environment, family history, by extending precision medicine to develop more effective pe
53:35 42.
DAVID - Database for Annotation, Visualization, and Integrated Discovery Bioinformatics Resources, KEGG Metabolic PathwayFunctional Interpretation of Genomic Bigdata
54:38 43.
Gene-Environment Interactions: Predictors of CancerModel Comparisons on DomainsConventional vs. Machine-Learning Analytics
54:39 44.
Predictors of Healthy Eating Index (77)- Multi-ethnic Families
55:58 45.
Predictors of Cancer: Gene Metabolites InteractionMulti-ethnic Families
55:59 46.
Predictors of Cancer: Gene Metabolites InteractionModel Comparison
56:27 47.
Key Mechanism for Epigenetics - Nutrigenomics
56:42 48.
Epigenetics-Methylation Cycle, Methyl Donors, Nutrients, Gene Expression, and Histone Modification
56:44 49.
Gene
57:23 50.
Gene expressed – loosened Histone (组蛋白)Chromatin (染色质) protein binding chemistry
57:24 51.
Hypo-Methylation: Differential Methylated RegionsCancer, Family, Obese, Non-Obese Whole Genome
57:25 52.
Glucose transporter proteins GLUT1-5, Insulin Resistance(GLUT1/SLC2A1 promoter, GLUT3/SLC2A3 Intron hypomethylation DNAm, increase expression, Cancer/Control, families/control, obesity/control).
57:26 53.
PMID: 30322146, 2018
57:27 54.
PMID: 30696735 2019
57:28 55.
PMID: 30784572, 2019
57:29 56.
PMID: 30322146, 2018
57:30 57.
Mammalian Target Of Rapamycin (mTOR) ComplexSignaling and Regulation by the Lysosome 溶酶体 and Aging
58:00 58.
Branched Chain Amino Acids, Insulin Resistance
58:01 59.
PMID: 30322146, 2018
58:03 60.
PMID: 30322146, 2018
58:04 61.
Comparison on Healthy Eating Index
1:00:17 62.
Efficient and effective institutions for Excellence

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資料夾名稱

學術演講

發表人

江堤莊

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台大醫學院資訊組

建立

2019-12-13 16:30:50

最近修訂

2019-12-13 18:01:23

長度

1:15:55