Samira Hosseini

Start from the heart!
Always start from the heart!

I know immediately that writers are inexperienced when the working draft they send me starts from an abstract and introduction.

- What is your paper all about?
- The results.
- Alright then! Begin with the results.

Here is a sequence to craft an article:

↳ Start from the heart of the paper
Whether research or review, your paper is all about your results. Begin by designing the most powerful images, tables, schemes, and graphs that tell the entire story of the paper. Don’t just make images. Make publication-quality images.

↳ Form super informative captions
You may actually get cited just because of your captions. Remember, your article might not be accessible everywhere, but images are. What another author may need might be right there in your image. So, they look no further, boom!

↳ Shape your results and discussion
Once your images are ready, it’s incredibly easy to write the results part of your paper. Look into your images and get as descriptive as you can. Write what you see and then circulate the discussion through the results to connect the dots.

↳ Craft an impressive introduction
Now, move to the intro! You may wonder why not in the first place. Because as you write up your results and discussion, you will come across many useful references to back up your data and logically you’ll do better at this stage.

↳ Get the bottom of the paper done
Summarize your findings in the conclusion, offer limitations of the study and future direction. Get the acknowledgment and authors’ contribution done. Use reference management software. We don’t live in the Stone Age.

↳ Select the right keywords
Think about your keywords as those used in Search Engine Optimization. Select the right ones that will attract the most readers to your work. It’s okay to use a keyword that you have never used in the entire paper.

↳ Read and polish your work
Take time to read your work and ask for support from trusted experts to read and comment on your work. Be the judge of your own work and make corrections as many rounds as you find necessary.

↳ Construct a powerful abstract
Condense the essence of your article in one hell of an impressive paragraph called abstract. Make it a stand-alone masterpiece that speaks the entire content of your paper and captivates the readers.

↳ Choose the right title
Select the most realistic title that describes your work in the best possible way. Do NOT use “Novel” or “New” in your title. Journals are sick of it! If your work wasn’t novel, it wouldn’t get accepted anyway.


WHERE IS THE METHODOLOGY???
You may wonder…


↳ That’s Step # -1
If you are a good researcher, documenting every step of your experimental work along the way, you would have the methodology already written. It’d be only a matter of copy and paste!
______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

20 hours ago | [YT] | 5

Samira Hosseini

At a crossroads between Research & Review?
This post is for You!

Let’s compare the two 👇🏻

𝐄𝐀𝐒𝐄

→ Research: Challenging and time-consuming due to the need for original research, trial and error, chance of failure, data collection, and analysis.

→ Review: Easier than research as it does not involve data collection. Tedious and time-consuming as it deals with a considerable number of references and continuous updates to the list.

𝐀𝐂𝐂𝐄𝐏𝐓𝐀𝐍𝐂𝐄

→ Research: Varies widely depending on the journal and field, but generally below 30% due to high standards for originality and rigor.

→ Review: Difficult to get accepted as a minor percentage of journals accept review submissions and mostly are based on invitation.

𝐍𝐎𝐕𝐄𝐋𝐓𝐘

→ Research: High, as it presents new findings, data, or interpretations.

→ Review: Low, as it offers new perspectives, syntheses, or interpretations of existing knowledge but not original data.

𝐋𝐄𝐍𝐆𝐓𝐇

→ Research: Varies depending on the field and journal, but typically longer due to detailed methodology and results sections.

→ Review: Can vary widely but often longer than research papers as they primarily summarize and analyze a large body of existing work.

𝐈𝐌𝐏𝐀𝐂𝐓

→ Research: Can be high, especially if the research is groundbreaking or addresses a significant problem.

→ Review: Moderate to high if it influences future research directions or shapes understanding in a field.

𝐀𝐔𝐃𝐈𝐄𝐍𝐂𝐄

→ Research: Primarily other researchers and experts in the exact field.

→ Review: Broader audience, including researchers, practitioners, and policymakers.

𝐂𝐈𝐓𝐀𝐓𝐈𝐎𝐍

→ Research: Moderate to high, depending on the quality and impact of the research.

→ Review: Can be high, as they highlight gaps and offer methodological insights. Their interdisciplinary appeal, educational use, and value as reference points make them essential resources for both new and experienced researchers.


PS: Do you have any other aspects of the two you want to compare?
Drop me a comment, and I’d be happy to add your point to the post.
______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

1 day ago | [YT] | 3

Samira Hosseini

Don't know how to say 'No'?
Use one of the following frameworks:

↳ Say No & give an explanation:

Example: Unfortunately, this cannot be done as it opposes our value system within the organization.
Example: I wish I could help you, but it is impossible at this time since the instrument is overbooked for the next 3 months.

↳ Say No & counteroffer:

Example: I don't think I can manage this with my limited time, but what would you say if I assigned it to the assistants to handle this task, and I'll take a final look at their delivery?
Example: This week, my agenda is fully saturated, but I can take a look at this in two weeks' time; how does that sound?

↳ Say No & negotiate:

Example: This is very interesting. I am excited to be in charge of this task, but as you know, my plate is full. What would you like me to drop from the ongoing tasks to pick up this task?
Example: I'd be honored to add all this to my current duties. It's an exciting opportunity. Thank you for considering me. I am sure I'd be compensated for the extra hours, right?

↳ Say No & give Zero explanation [don't forget to smile]:

Example: No. 😊
Example: No. 😊

When you realize that 'No' is a full sentence, many of your problems will automatically be solved.
______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

2 days ago | [YT] | 3

Samira Hosseini

Quantitative or Qualitative?
It depends on your hypothesis or research question.

Quantitative research gathers numerical data and uses statistical methods to analyze and draw conclusions.
It is typically used to test hypotheses and establish cause-and-effect relationships.

→ It is Numeric, objective, deductive, and generalizable
→ Collects data through surveys, experiments, and observations (structured)
→ Involves thorough statistical analysis and hypothesis testing

Qualitative research explores subjective experiences and perspectives. It collects and analyzes non-numerical data to uncover hidden meanings and patterns.

→ It is Descriptive, subjective, inductive, and in-depth
→ Collects data through interviews, focus groups, and observations (unstructured)
→ Uses thematic and content analysis to address the research question.

In essence:
Quantitative research is about measuring and counting.
Qualitative research is about understanding and interpreting.

You can combine quantitative and qualitative methods in a mixed-methods approach to better understand a research problem.

P.S. Which one do you feel more comfortable with?
______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

3 days ago | [YT] | 7

Samira Hosseini

Don't go with the flow!
Be the flow ...

Be proud,
Be mighty,
Be decisive,
Be You!

4 days ago | [YT] | 7

Samira Hosseini

If you’re confused between research question and hypothesis,
this post is for you [save it for later]

There are 5 fundamental differences between the two.
Let's check them out 👇🏻

1. FORM

Research Question: Open-ended question (e.g., "What is the effect of X on Y?")
Hypothesis: Testable statement (e.g., "If X increases, then Y will decrease.")

2. PURPOSE

Research Question: Guides the direction of the research; identifies the problem or phenomenon to be explored
Hypothesis: Predicts the relationship between variables based on existing knowledge and theory

3. SCOPE

Research Question: Broader in scope, typically addressing a general area of inquiry
Hypothesis: Narrower in scope, focusing on a specific prediction derived from the research question

4. TESTABILITY

Research Question: May not be directly testable but leads to data collection and analysis
Hypothesis: Designed to be empirically tested and either supported or refuted by the research findings

5. RELATIONSHIP TO THEORY

Research Question: May or may not be directly linked to existing theory; can be exploratory
Hypothesis: Grounded in existing theory; provides a framework for interpreting results and building new knowledge


Remember,
Research questions can be descriptive, exploratory, or explanatory, depending on the nature of the research.
Hypotheses can be directional (predicting a specific direction of the relationship) or non-directional (predicting a relationship without specifying the direction).

Which one does your current research address?
The research question or the hypothesis?

______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

5 days ago | [YT] | 6

Samira Hosseini

Let me share with you one secret key to my success:
I say "no" way more often than I say "yes."
I've gotten used to it,
and so have others.

______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

6 days ago | [YT] | 5

Samira Hosseini

7 Steps for Crafting a Powerful Literature Review 💪🏻
Articles that use RPISMA have a much higher acceptance chance.
[ Scroll down for tips on Boolean operators ]

1. 𝘋𝘦𝘧𝘪𝘯𝘦 𝘢 𝘊𝘭𝘦𝘢𝘳 𝘢𝘯𝘥 𝘍𝘰𝘤𝘶𝘴𝘦𝘥 𝘙𝘦𝘴𝘦𝘢𝘳𝘤𝘩 𝘘𝘶𝘦𝘴𝘵𝘪𝘰𝘯
Your research question will be the backbone of your systematic review. It should be specific, answerable, and relevant to your field of study.

2. 𝘋𝘦𝘷𝘦𝘭𝘰𝘱 𝘢 𝘊𝘰𝘮𝘱𝘳𝘦𝘩𝘦𝘯𝘴𝘪𝘷𝘦 𝘚𝘦𝘢𝘳𝘤𝘩 𝘚𝘵𝘳𝘢𝘵𝘦𝘨𝘺
Identify relevant databases (e.g., Web of Science, PubMed, Google Scholar) and create a list of keywords and search terms that encompass your research question. Consider using Boolean operators (AND, OR, NOT) to refine your search.

3. 𝘌𝘴𝘵𝘢𝘣𝘭𝘪𝘴𝘩 𝘐𝘯𝘤𝘭𝘶𝘴𝘪𝘰𝘯 𝘢𝘯𝘥 𝘌𝘹𝘤𝘭𝘶𝘴𝘪𝘰𝘯 𝘊𝘳𝘪𝘵𝘦𝘳𝘪𝘢
Determine the types of studies (e.g., randomized controlled trials, observational studies, qualitative research) and the specific criteria (e.g., publication date range, language, sample type, or size) that will be included or excluded from your review.

4. 𝘚𝘤𝘳𝘦𝘦𝘯 𝘢𝘯𝘥 𝘚𝘦𝘭𝘦𝘤𝘵 𝘚𝘵𝘶𝘥𝘪𝘦𝘴 𝘚𝘺𝘴𝘵𝘦𝘮𝘢𝘵𝘪𝘤𝘢𝘭𝘭𝘺
Apply your inclusion and exclusion criteria to the titles and abstracts of the identified studies. Remember that full-text availability and conclusiveness of the study are considered inclusion criteria as well.

5. 𝘌𝘹𝘵𝘳𝘢𝘤𝘵 𝘢𝘯𝘥 𝘖𝘳𝘨𝘢𝘯𝘪𝘻𝘦 𝘋𝘢𝘵𝘢
Develop a standardized data extraction form to collect relevant information from each included study. This may include study characteristics (e.g., sample size, study design), results, and methodological quality.

6. 𝘚𝘺𝘯𝘵𝘩𝘦𝘴𝘪𝘻𝘦 𝘢𝘯𝘥 𝘈𝘯𝘢𝘭𝘺𝘻𝘦 𝘵𝘩𝘦 𝘍𝘪𝘯𝘥𝘪𝘯𝘨𝘴
Summarize the main findings of the included studies in a clear and concise manner. Use 𝐭𝐚𝐛𝐥𝐞𝐬 and 𝐟𝐢𝐠𝐮𝐫𝐞𝐬 to present data effectively. If appropriate, conduct a meta-analysis to combine the results of multiple studies statistically.

7. 𝘐𝘯𝘵𝘦𝘳𝘱𝘳𝘦𝘵 𝘵𝘩𝘦 𝘍𝘪𝘯𝘥𝘪𝘯𝘨𝘴 𝘢𝘯𝘥 𝘋𝘳𝘢𝘸 𝘊𝘰𝘯𝘤𝘭𝘶𝘴𝘪𝘰𝘯𝘴
Discuss the implications of your findings in the context of existing research and theory. Identify knowledge gaps and suggest areas for future research. Highlight the strengths and limitations of your systematic review.

PRO TIP ON BOOLEAN OPERATORS 👇🏻

↳ Use "AND" when you want to find results that include all the terms you specify. This narrows your search.
↳ Use "OR" when you want to find results that include at least one of the terms you specify. This broadens your search.
↳ Use "NOT" when you want to exclude results that contain a specific term. This refines your search.
______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

1 week ago | [YT] | 8

Samira Hosseini

Your journey in journal publication will be challenging!
If it were easy, everyone would have 200 papers published in top journals.


If you're not willing to fail, you're not ready for success!
______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

1 week ago | [YT] | 5

Samira Hosseini

How do you visualize data in a journal article?
[save this one for later]
There are multiple ways for visualization.
But the point you want to convey usually falls under the following four categories:
1️⃣ Comparison
2️⃣ Distribution
3️⃣ Composition
4️⃣ Relationship

→ Comparison: Visualize how two or more data sets compare to each other. This helps identify similarities, differences, trends, and patterns between different variables.
→ Distribution: Show the spread of data points within a dataset. This helps understand the distribution of your data, identify outliers, and assess the overall variability.
→ Composition: Break down a whole into its smaller parts. This helps see the relative importance of different components in a dataset.
→ Relationship: Illustrate the connection between two or more variables. This helps identify correlations, cause-and-effect relationships, and other patterns in your data.
You can make this decision by answering this question. 👇
What do you want to show/convey to the reader?
Once you answer this question, you will find the most suitable visualization type for your data.
P.S. Let me know which one is your favorite. 😊

______________________________

📌 This is Prof. Samira Hosseini. I’ve helped 12,000+ ambitious academics go from struggling with publishing papers in Q1 journals, limited visibility, and poor citation records to building a solid research trajectory and high 𝘩-index.

Let's dive into your challenges in top-tier journal publication and citation and see how I can best assist you: calendly.com/samirahosseini/aaa?utm_source=youtube…

1 week ago | [YT] | 9