Course Content
Introduction to the 6-Months Scientific Writing Mentorship Program
0/1
What will you learn in this Course?
16:16
What is Scientific Writing?
0/3
Introduction, plans and outlook of this course
07:30
What is Scientific Writing and Why do we need to learn it?
22:12
Zoom Meeting of Members (Day-1) 25.05.2024
01:18:10
Finding Big Names in Science
0/1
Google Scholar, Impact Factor, i10-Index, h-index and much more
26:32
Finding Study Gaps for research
0/5
How to use zoom in zoom meetings?
06:11
Finding keywords for you research
44:30
How to find papers using keywords on google scholar?
21:25
Tips and Tricks ; Questions and answers
40:57
How to use google scholar in efficient way?
00:00
A complete workshop to find study/research gap (important for all)
0/1
Scientific Writing Master Class
02:46:27
Why and How of Scientific/Academic Writing
0/2
Five Step guide to Effective Scientific Writing | How?
28:02
Why do we write scientific research outcomes?
10:08
Building Blocks of Scientific/Academic Writing
0/2
Word Choice and Sentence Structure
21:24
Paragraph Structure and rules
14:57
Live Zoom Meeting
0/2
Student Presentation
20:22
Discussion on the plan today
02:40
Scopus and Pubmed
0/1
Use of Scopus and PubMed as Google Scholar Alternatives
50:35
Q&A session + Tips
0/1
Questions and answer Session (08.06.2024)
48:52
How to Buy Databases Subscription?
0/1
Chinese websites to buy the access for subscription to Databases
05:16
AI Databases and Tips
0/1
AI Tools and Databases for Research (VIP Lecture)
54:29
Design your Review Article (Complete Guide)
0/5
Story Writing in Review Article
01:15:31
1 min & 2 min practice of story writing for a Review Article
31:35
Design layout of your Review Article
48:02
Next Task to do before upcoming lectures
00:58
Template of MS Word file for the manuscript
00:00
Review Paper vs. Research Paper
0/1
Review Paper vs. Research Paper
14:52
Layout of a Review article
0/6
Layout of review article and Latest Review Article
24:05
Study Case for Review Paper with Layout
49:53
Tools to Design Infographics and Graphical Abstracts and Scientific Figures
08:52
Canva for Education with .edu email
08:02
Join CANVA as a student in Scientific Writing Course
01:38
Revising Layouts of Perspective Review Articles
17:45
Team Building
0/2
Team Building for Review Article (Part-1)
28:59
Team Building for Review Article (Part-1)
44:25
Tips to improve paper Layout
0/1
Design Paper Layout as Business Model Canvas
13:02
WhatsApp groups
0/1
WhatsApp Groups for students enrolled in SWMP
06:42
Presentations for Review Article Teams (Day-1)
0/3
Presentations Intro
06:14
CS, IT, Data Science and AI group presentation
40:19
Physical Sciences | Group Presentation
43:22
Presentations for Review Article Teams (Day-2)
0/5
Public Health Group Presenatation
05:25
Public Health Group Presentation Feedback
09:18
Life Science and Biological Sciences Group Presentation and Feedback
57:44
Business, Economics and Finance Group Presentation and Feedback
30:17
Cancer Research Group presentation and Feedback
31:16
First Month Feedback about the course
0/1
What did you learn in first Month of this course?
10:38
Let’s Start Writing Review Article
0/6
Introduction to MS Word and File management before writing
19:02
Discussion and Q&As about review article writin in a team
03:56
How to download and use ENDNOTE 21
00:00
MS Word Add ins and use of Endnote
31:24
Writing introduction of a review article
30:46
Team Work collaboratively using OneDrive and MS word
26:52
Important Tips | Questions and Answers
0/4
Installing endnote on MacBook Intel
06:32
Citation with Endnote
02:30
Specific Questions regarding review article and software
18:41
Creating Endnote Library is the most important step
03:23
Review Article – Introduction and Endnote Citations | Google Docs
0/6
Q&A session with students
38:30
Physical Science Group introduction check
27:40
Google Doc and Google Sheets training
15:24
Official Trainings for Google Docs
01:19
Endnote complete training session is important
03:52
Q&As important for the Career in Science
21:56
Endnote Complete Training
0/6
Introduction to Endnote
03:29
Download, Install and Overview of Endnote
11:30
Collect References and Endnote Libaray
14:19
Building and Working within a library
24:29
Add citations to MS Word from Endnote
09:50
How to use Endnote? Complete Crash Course
48:21
Endnote Advance Tips and Hooks for Text
0/3
Advance Tips about Endnote
23:54
Hooks and Topic Sentences are important
56:56
Next Tasks and Assignment
03:14
Database Development and Review Article
0/6
Page size and layout for MS Word before start writing the manuscript
07:41
Developing Databases to Write Review Article (Part-1)
01:13:49
Developing Databases to Write Review Article (Part-2)
49:38
Question Answers Session 20 07 2024
21:08
Example of Fake Paper Analysis published in Nature Communications
05:05
Questions and Answers | Software and Tools for Visualzation
08:50
Review Article Further Development
0/3
Graph Pad Prism software for Data Analysis and Data Visualization
09:54
The whole process of writing with Tips for Introduction and Database
01:52:52
Q&A session 21 07 2024
07:05
Meeting Recordings 27 July 2024
0/4
Refining Keywords for Database Search
20:45
Questions and Answers about Keywords
05:12
Complet Review Article Story
01:18:51
Q and A session General
05:50
Meeting Recording (28.07.2024)
0/1
Review article Stories of Groups and Suggestions 28 07 2024
01:26:08
Meeting Recordings (03.08.2024)
0/7
People who Discontinued the course in August 2024
02:50
What will we cover today?
10:36
Writing an Abstract for Review Articles – A complete Guide
01:06:01
Title and Keywords design for manuscripts
37:50
OpenAccess vs. Subscription | Finding a Journal
33:07
Submitting a Paper in A Journal – Major Things to keep in mind
14:04
Feedback
10:13
Meeting Recording (04.08.2024)
0/4
What should be there in Cover Letter to submit manuscript?
07:24
Cover Letter Guide A-Z | Submission of Manuscript
53:15
A-Z Paper Submission Guide for Journals
47:11
Next Assignment before 10.08.2024
01:24
MS Excel Advance Tips
0/1
MS Excel Advance Tips, Statistical Test, Shortcuts and Much more
02:53:00
Systematic Review (Part-1)
0/3
How to stay Motivated?
16:00
What is Systematic Review?
53:15
Systematic Review Guides, Software, and Samples
39:13
Systematic Review (Part-2)
0/10
Learning from Published Systematic Reviews
13:50
Meta-data vs. Data used in Systematic Reviews
07:52
Supplementary Data from Other Papers and our database
31:23
Supplementary Data downloaded by class
15:53
Building your own database using Excel and Endnote
26:26
Inclusion and Exclusion Criteria to screen database using AI tools
21:19
Qualitative vs Quantitative Data questions
03:11
ASReview ML software for screening Papers
23:42
Questions and Answers
08:16
Assignment for next class
01:01
Systematic Review (Part-3)
0/3
Systematic Review and use of AI tools for figure
01:29:00
Assignment for next class
02:51
Feedback and Questions
18:46
Systematic Review (Part-4)
0/5
Problems and Solutions for Exporting Excel or RIS files in Endnote and ASReview
34:48
Web of Science Database use to search papers
05:34
Guide for Systematic Reviews A-Z complete guide
53:17
Questions and Answers
08:45
Feedback of Students
09:30
Systematic Review (Part-5)
0/3
Guide for Systematic Review and Database Development
27:48
Database Development tips and student projects
22:59
Endnote database duplicates removal Best way possible
06:00
Systematic Review (Part-6)
0/6
Students Prjects and Feedback
01:28
Online Database search using Endnote
15:00
Steps to create a Database for Data Extraction using MS Excel
27:01
Students input to add general list of columns
33:51
Important Tasks and Next assignment
03:17
Question Answers Session about MS Excel Database
06:04
Systematic Review (Part-7)
0/4
General Variable for Data Collection for SLR
12:15
Specific Variables related to the hypothesis for Data Collection for SLR
44:03
Save the google sheet from the link
01:53
Steps to Follow for Data Extract until next week
04:18
Statistics for Systematic Review
0/3
Statistics for Systematic Review of Literature
25:57
R for Systematic Review Literature Analysis
02:25
Learn R from here
00:00
R Programming (Part-1)
0/4
Introduction to R and Rstudio
16:49
R studio Interface
23:22
Syntax and First Line of Code in R
13:13
R programming Resources and GitHub Pack and co-pilot
19:36
R Programming (Part-2)
0/3
Data Types and Structure in R
49:23
Functions and Packages in R
41:13
Built-in Datasets in R
12:54
R Programming (Part-3)
0/5
Assignment task in the zoom meeting | 20 min
02:39
Assignment Results from Students
13:44
Important List of Packages for Data Handling, Visualization and their use cases in R
01:14:53
Packages List for Statistics and Machine learning and Systematic Review and Meta analysis
18:33
Question answers and upcoming tasks
11:31
R Programming (Part-4)
0/7
Make quick plots using GWalkR
12:33
Import Data into R using different methods
42:43
Best practices to Store and collect data for R
07:15
Practice session with R
05:26
Data Understanding and Wrangling using R packages
34:25
Application for Meta analysis and Systematic Review and preparation
06:10
Next Assignments before upcoming session
01:16
R Programming (Part-5)
0/3
Data filtering using R with Aammar
56:11
Solution to the assignment
02:33
How to find missing values in R with Aammar?
19:12
R Programming (Part-6)
0/8
CSV vs. Excel File
10:54
Endnote database duplicates removal Best way possible
06:00
Questions and Assignments
06:39
Missing Values Imputation Methods in R
51:32
Finding an Error and solution for missing values imputation
09:58
Missing values imputation using Mode function in R
04:54
Next Tasks and Assignments
01:14
Link to the GitHub Repository having all codes
00:00
R Programming (Part-7)
0/5
Habits to work hard with Discipline
05:38
Missing values and Data Distributions
01:04:25
Many Statistical Tests are there
01:48
Skewness and Kurtosis in R and Rmarkdown
08:31
GitHub repo for the course
00:00
R Programming (Part-8)
0/4
Thirty important commands of R for daily use
48:09
Interactive plots in R with Plotly
24:49
Important Assignment and tasks
01:38
Codes of the lectures are here
00:00
R Programming (Part-9)
0/5
Three Important Packages in R to data visualization and EDA
42:26
20 minutes of practice in R during class
24:00
Plots in ggplot2 with manual control over the size and colors
59:17
Data Visualization is important but why?
05:59
Next announcement and plans
00:40
R Programming (Part-10)
0/5
Practice report from last class
02:12
Waterfall and different types of Bar plots in R
36:44
Barchart to Pie charts in R
02:05
Publication ready plots in R using ggpubr
14:58
Plans for next sessions and meetings | Things about absent people
42:59
Writing Systematic Review-(Paper-1)
0/1
Systematic Literature Review and Data Cleaning and Improving
01:35:13
Writing Systematic Review-(Paper-2)
0/1
Making major figures for Systematic Literature Review
02:10:31
Writing Systematic Review-(Paper-3)
0/2
Paper figure making for Dr. Ansari’s Paper
40:34
Database and Figure of heatshock proteins paper
39:31
Writing Systematic Review-(Paper-4)
0/4
Zoom Meeting recording 20 10 2024 part 1
24:33
Zoom Meeting recording 20 10 2024 part 2
20:50
Zoom Meeting recording 20 10 2024 part 3
07:57
Zoom Meeting recording 20 10 2024 part 4
05:34
Meta-analysis (Part-1)
0/2
Meta Analysis Course is starting today
08:57
Meta Analysis (Part-1)
01:38:37
Meta-analysis (Part-2)
0/2
Meta-analysis important key terms and plans for Meta-analysis learning pathway
01:38:28
Question Answer session about Meta-analysis
06:27
Meta-analysis (Part-3)
0/2
Meta Analysis Support for future
05:16
Meta Analysis guide in a 12-steps Guide
01:48:59
Meta-analysis (Part-4)
0/2
Examples of forming a research question
40:01
Step-2: Developing a Protocol for Systematic Review and Meta-Analysis
39:19
Meta-analysis (Part-5)
0/2
Projects on Meta-analysis (Step-2 Protocols and Ideas)
01:38:14
Step-3 Inclusion and Exclusion Criteria in Meta-analysis
45:33
Meta-analysis (Part-6)
0/3
Attempt this quiz
11:00
Step-4 comprehensive literature search
01:14:28
Literature Database Search and Database development for Meta-analysis (Practical)
01:13:29
Quiz
0/1
Systematic Review and Meta-analysis Quiz
00:00
Meta-analysis (Part-7)
0/5
Step-4 ki Revision and Assignment review
16:25
Step-5 Managing and Screening Papers using Endnote and ASreview for Meta-analysis
01:01:22
Question answers and next plans
07:18
What would be coming next?
03:41
Tasks for Students before next class
00:24
Meta-analysis (Part-8)
0/6
Step-6: Data extraction in Meta Analysis
01:03:20
Step-7: Accessing the quality of Studies
38:47
Questions and answers for Step 6 and 7
02:04
Next plans
09:14
How will we proceed now?
02:33
Task for this week for students
00:55
Meta-Analysis (Part-9): Practical Session for Data Extraction
0/3
Data Extraction Practical Session (Meta-analysis)- (Part-1)
01:55:04
How to use WebPlot Digitizer o take data from graphs and plots
10:13
Data Extraction Practical Session (Meta-analysis)- (Part-2)
01:01:57
Meta-Analysis (Part-10): Practical Session for R calculations
0/5
Questions and Answers about data extraction
12:35
Effect Size Calculations in R
01:56:38
dmetar did not work in my pc why it could be same for you
15:36
Effect size and meta analysis computations
23:54
codes and datasets for the calculations
Last Day of the Course
0/2
Last Day Thoughts
04:34
Future Outlook for the course and your plans
42:13
Students Feedback for the course
0/1
Students Feedback
01:02:27
Scientific Writing Mentorship Program
    Join the conversation
    9 months ago
    ORCID
    Reply
    Muhammad Abdullah 9 months ago
    7:19 ORCID
    Reply
    Sidra Mehboob 9 months ago
    It's ORCID. Profiles have been created on Google Scholar, ORCID, and Researchagte.
    Reply
    Tooba Hashmi 9 months ago
    7.20, It's ORCID.
    Reply
    Muhammad Wasif 9 months ago
    9:25. ORCID not ORCHID
    Reply
    Muhammad Haroon 9 months ago
    9:33 sustainability, finance, entrepreneurship, innovation, analytics
    Reply
    Muhammad Haroon 9 months ago
    all 3 have, Research Gate, Google Scholar, and ORCID
    Reply
    Muhammad Haroon 9 months ago
    7:18 ORCID
    Reply
    Previous
    Next
    0% Complete