MyScienceWork’s Post

Limitations of keywords in research As great as keywords are in research, they have their limitations. While keywords are crucial for research discoverability and indexing, they have certain limitations that researchers should be aware of. They include; ✔️Limited Context - Keywords often lack the diversity and context of the full research content. They may not fully capture the complexity and scope of the study. ✔️Ambiguity - Keywords can sometimes be ambiguous or have multiple meanings, leading to irrelevant search results. For example, the keyword "bark" could refer to the sound a dog makes or the outer layer of a tree. ✔️ Over-Specialization - Highly specialized keywords might limit the audience to a very narrow group, reducing the broader visibility of the research. ✔️Variability Across Disciplines - Different academic disciplines may use different terminologies for similar concepts, making it challenging to select keywords that are universally understood. ✔️ Keyword Evolution - The relevance of keywords can change over time as terminology evolves. Keywords that are effective today might become outdated or less relevant in the future. ✔️ Database Dependency - The effectiveness of keywords can vary depending on the database or search engine. Some databases use controlled vocabularies (like MeSH in PubMed) that might not align perfectly with the chosen keywords. ✔️ Search Algorithm Limitations - The algorithms used by search engines and databases to match keywords can have limitations, such as not recognizing synonyms or context, which can affect search accuracy. ✔️Length Constraints - Many journals and databases limit the number of keywords you can use, which can be restrictive in fully capturing the breadth of the research. ✔️ Ignoring Full-Text Search - Some researchers rely too heavily on keywords, overlooking the importance of full-text search capabilities that can provide more comprehensive search results. When one understands these limitations, it can help researchers choose keywords more effectively and consider additional strategies for enhancing their research’s visibility and discoverability. I hope this helps you. #UniqueConsults #ResearchDoctor #research

👉 How do I find research keywords? When searching for research keywords, you should approach it in a similar way to SEO keywords, but with a focus on academic resources and scholarly databases. Here's a breakdown of effective methods: Brainstorming and Topic Exploration: 1. Solidify your research area: Clearly define your research topic and the core questions you're trying to answer. 2. Break down the topic: Once you have a broad area, brainstorm subtopics or specific aspects you'll delve into. This helps identify relevant keywords. 3. Explore academic resources: Look into academic resources such as encyclopedias, textbooks, or online repositories related to your field. Pay attention to chapter titles, headings, and indexes to discover potential keywords and terminology. Scholarly Database Exploration: 1. Identify relevant databases: Look for databases specific to your field. Many universities offer access to databases – utilize your library resources or search for open-access options. 2. Advanced search features: Most scholarly databases have advanced search features. Utilize them to filter your search by subject terms, keywords, publication dates, or specific authors. 3. Subject browsing: Some databases allow browsing by subject. This can expose you to relevant terminology and related research areas, helping you discover new keywords. Refining your Research Keywords: 1. Specificity vs. Relevance: Balance the specificity of your keywords with their relevance to your research question. Highly specific keywords might yield limited results, while overly broad ones might be too scattered. 2. Synonyms and Related Terms: Look for synonyms and related terms for your chosen keywords. Use thesauri or the "related terms" function in databases to expand your search scope. 3. Boolean Operators: Utilize Boolean operators like AND, OR, and NOT to refine your searches within databases. For instance, "climate change" AND "economics" will find articles that discuss both topics. By following these steps, you can develop a strong foundation of research keywords to guide your search for scholarly articles and reliable sources. Remember, the goal is to find keywords that are specific enough to be relevant to your research yet broad enough to yield a good volume of informative sources.ood volume of informative sources #SEOtips #keywordresearch #SEOstrategy #socialmediamarketing #digitalmarketing #searchengineoptimization #SEOhacks #onlinemarketing #contentstrategy #SEOexpert #SEOkeywords #SEOtools #SEOhelp #seoaudit #keywordplanning #organictraffic #websiteoptimization #SEOhelp #SEOhacks #contentmarketing

Never make the mistake of assuming the PRESUMED problem is the ACTUAL problem and that is why RESEARCH is key for every digital marketer And here is a step-to-step guide on how to RESEARCH right Step 1: Define Your Research Goals and Scope -Set Clear Objectives: Define what you need to find. Are you looking for statistics, recent trends, academic insights, or practical examples? -Determine the Depth and Breadth: Decide whether your research needs a high-level overview or a deep dive into specific topics. Step 2: Identify Credible Sources -For General Information: -Google Scholar: Ideal for scholarly articles, studies, and credible sources. -Google Advanced Search: Use for precise search queries; filter by date, file type, or website for more specific results. -Wikipedia (for an overview): While not a primary source, it’s useful for initial context and finding references. -For Industry Trends and Market Data: -Statista: Provides data and statistics on a wide range of industries. -LinkedIn Pulse and Industry Blogs: Great for trends, case studies, and thought leadership articles. -Business Wire and PR Newswire: Use these for recent press releases and insights from major brands and industries. -For Academic and In-Depth Analysis: - JSTOR or ResearchGate: Academic papers and journals. - ERIC: Education-related papers and reports. - Project MUSE: Humanities and social science research. Step 3:Use Search Strategies for Targeted Results -Keywords and Synonyms: Start with broad keywords, then add specific terms or synonyms related to your topic. -Boolean Operators: Use operators like AND, OR, and NOT to refine searches. -Quotation Marks: Use quotes around phrases to search for exact matches, like “consumer behavior trends 2024.” Step 4: Gather Data from Social Media and News Platforms -Google News or Bing News: Use these for recent news stories, updates, and articles. -Reddit: Search industry-related subreddits or discussions for opinions, current issues, and emerging trends. -Twitter/X: Stay updated on trending topics and news from reputable sources and experts. -LinkedIn: Join groups related to your field and check posts and articles by industry leaders to understand real-time issues. Step 5: Evaluate Sources for Credibility and Relevance -Author and Publication Credibility: Look for works by recognized authors, reputable publishers, or peer-reviewed journals. -Publication Date: Prioritize recent sources for topics that change rapidly, like technology or digital marketing. -Cross-Check Facts: Verify facts across multiple sources to ensure accuracy and avoid biased information. P.S: It is quite long but how was the knowledge gain? #DigitalMarketing #ContentMarketing #Marketing #LinkedInMarketing

Thought it would be useful and informative to replicate this post about search engines I found on Facebook (a rare occurrence). It was originally posted from the handle of Megan Murphy, a Mystical Pathfinder, by their own admission. ------------ Google is so powerful that it "hides" other search systems from us. Other than the usual Bing, Baidu, Duckduckgo, Perplexity and Ask.com, we just do not know about the existence of most of them. However, there are still a huge number of excellent search engines in the world that specialize in books, science, and other smart information. Here is a list of sites you might not have heard of previously. - www.refseek.com - Academic Resource Search. More than a billion sources: encyclopedias, monographs, and magazines. - www.worldcat.org - a search for the contents of 20 thousand worldwide libraries. Find out where the nearest rare book you need is. - https://link.springer.com - access more than 10 million scientific documents: books, articles, research protocols. - www.bioline.org.br is a library of scientific bioscience journals published in developing countries. - http://repec.org - volunteers from 102 countries have collected almost 4 million economics and related science publications. - www.science.gov is an American state search engine on 2200+ scientific sites. More than 200 million articles are indexed. - www.base-search.net is one of the most powerful research texts on academic studies. More than 100 million scientific documents, 70% of them are free #search #internet Have you tried any of these? Or are you aware of others? Please share

My world really opened when I focused on the fundamentals. It's actually really easy to gain an advantage by doing this. Because so many people are trying to run before walking, Looking for a silver bullet to complex problems. But doing the basics isn't sexy work, it's very laborious. But, the internet was built on very basic concepts: networks, semantics, classification, taxonomy, ontology. This is why my first piece of advise for SEO's is to read Backrub. Literally, Larry and Sergey's dissertation: https://lnkd.in/dbYevFxn And, understanding the taxonomy: https://lnkd.in/dwuJ9uhS Like, if you understand how algorithms classify, You realize why stuff like this happens. This isn't backlinks, technical SEO, content; It's actually just economics, understanding TAM, Serving markets that you should only serve. I used to work on this site, About 1.5M users a month - destroyed with a year. It's not a magic factor, it's just about knowing, which corner of the internet you serve. When you look for complexity, you'll find it; the same goes for looking for simplicity. 'If you create content for everyone, you create content for no one.' - #seo #searchenginealgorithms

Other search engines existed before Google and SEO. Are you old enough to remember Altavista, Dogpile, Excite, Yahoo? ☠️ Other search engines existed before those search engines, going back pre 1990’s. Archie was one of the best. This was created from library and archival databases. 💿 It’s the old library, museum and archival databases that were the first e-search engines in the 80’s. Search engines existed 15 years or so before Google.👨💻 Perhaps even longer. There was an entire industry of international information retrieval brokerage that was killed off by the World Wide Web in the 90’s that worked tirelessly to provide information through their own systems in archives, hospitals, libraries and museums. It’s just that there was no WWW to interconnect their databases until the early 90’s. I first went to work in a small branch library in 2000 that incredibly still used what we called ‘brown issue’ systems. Those old paper cards you used to put inside the book when you borrowed it. We used an indexation system to manage those indices. 📚🔥 We even had our own algorithms. 👾 We were living breathing indices for users requesting info.📚 Human search engines. 🔥 Some older librarians I learned from had been working in libraries for 40 years were astonishing fonts of wisdom. This knowledge and skill is all but gone… 😢 but like I said, I was lucky, I moved into SEO and applied my information retrieval skills elsewhere. #brazil #terryGilliam These paper indices were fundamental to information retrieval which is what I studied at university in 1999. These old systems survived until 2002 in the UK and then were suppplanted by computer software systems. They were crazy times, good times, working on two systems old and new, and watching search engines and browsers develop. Something we have lost today with the advent of e-search engines and AI systems. The old brown issue I miss… 😂📚📙📘📗 sometimes I really do hate modern search engines and the crap you find on them (sic. advertising)

Ever wondered how search engines truly understand content? 🤓 Here's how: 🗂️ Knowledge Graphs: Vast databases of interconnected info 👑 Context is King: They understand relationships between concepts 🗼 Example: Paris → France → Europe → Earth 🏷️ Smart Classification: Entities info sorted into categories (facts, places, people, products) 🎯 Relevance Boost: Helps match documents to specific queries 🔥Knowledge Graphs transform Google searches into intuitive, rich experiences, unveiling networks of related information that make exploration fascinating. 💡 Pro Tip: Create content that aligns with these knowledge structures for better visibility! Make your content better understood by search engine algorithms. 📍In Contadu and NeuronWriter you access Entities recommendations available in 19 languages, enhanced with additional links (mostly from Wikipedia) and category badges. #SEO #KnowledgeGraphs #ContentStrategy #DigitalMarketing Question: Are you using Entities to improve your content strategy? Share below!👇 

What's more important: what papers you find or HOW you find them? For researchers doing systematic reviews, the answer is "BOTH!". If you're focused on HOW you're searching, then look at the search algorithms your using. Pay attention to the limitations of keyword search, and use other methods to supplement. In Litmaps, you have a choice of 3 algorithms. Here they are, and when to use them: ALGO 1: Top Shared Citations & References Litmaps finds results with the highest amount of co-citations to your inputs. That is, articles which share common references and/or citations to your inputs. → Use Top Shared Citations & References to find all relevant articles on your work, and to find articles you may overlook using traditional keyword search. ALGO 2: Common Authorship Patterns Litmaps analyzes your inputs and identifies common author collaborations, based on citations. It will then recommend articles that feature similar groups of authors. → Use Common Authorship Patterns to understand the key authors and collaborations in your field and find their other work. ALGO 3: Similar Abstract & Title Content Litmaps uses AI-driven semantic analysis on the titles and abstracts of your inputs to find articles with similar content. → Use Similar Abstract & Title Content to find papers that may have fewer citations or are from places you wouldn't normally check. What algorithms do you use for searching? Share with us below!

EXCITING NEWS: I just got featured in a university publication! 📣📣 I teach at the University of Strasbourg's TCLoc Master’s program on how to master hyper-focused SEO strategies for the AI-powered search landscape and they recently published their 2nd edition magazine 🙌 Learn more about TCLoc and my class here: https://lnkd.in/eE8JqUKz Cheers, Chris #SEO #AI #Marketing

🚀 Finding the Balance: Technical Expertise vs. Strategic Insight ⚖️ The more technical you are, the less strategic you often become. So, where's the sweet spot for a winning recipe? 🤔 For years, I worked hard to bridge my significant technical gap by taking programming courses, learning new languages, and so on. 📚💻 Now, my approach to SEO is undoubtedly more comprehensive. However, I’ve observed that becoming too technical can sometimes lead to a loss in strategic perspective. 🧠🔍 Fortunately, this isn't an issue for me, as my background, despite overcoming my technical shortcomings, is deeply rooted in the humanities. 🌍📖 This allows me to maintain a reflective approach when focusing on strategy. 🎯✨ 🔍 How do you see it? Where do you find the balance between technical know-how and strategic thinking? Let's discuss! 💬👇 #SEO #TechVsStrategy #Balance #LinkedInCommunity