BOSTON - March 28, 2021 - Lynn Bentley, President of Knobull announced, "Our academic search engine provides search results by localizing the scientific results required by the user. There are various types of search engines with different characteristics. The engines are preferred based on the required results. By utilizing our engine, users can securely access various journals, blogs, and periodicals that are relevant to their input queries rather than slogging through commercial clutter.
Academic search engines have been used by many students, manuscript writers, researchers, and scholars. It also helps in reviewing the latest technologies and researches in the concerned field. The keywords and key phrases are incorporated into the journals and research blogs to gain a higher rank in the academic search engine."
Even though commercial search engines are available, researchers and manuscript writers prefer to use academic search engines for searching references and writing research articles. Unfortunately, many aren't aware that the best known academic search engines like Google Scholar do capture personal data. Clearly, there is a significant difference between a general search engine and an academic search engine.
Secure academic search engines play an important role in improving the knowledge and advancing further research in a technical field. Through secure academic search engines, the students can gain access to reliable and authentic information with ease without risk to their personal data. Reasons for searching through academic search engines are:
Organized data: The data is indexed and organized in the academic search engine. This helps the researchers to avoid irrelevant information. The data is structured based on relevance and according to the most common search criteria.
Authentic articles: Most academic search engines provide authentic and reliable research articles. Knobull has access to various libraries that feed them with relevant and high-quality articles.
Quality: The Knobull search service assigns a quality grade to articles. This is of immense importance as many-a-time, the researchers require the articles published in journals with high impact factors. In addition, Knobull doesn't track, store or sell personal data.
Easy access: As compared to a general search engine, the user experience in searching the research articles is favourable in academic search engines. For instance, if a researcher searches an article about a disease or drug, the general search engine provides both relevant and irrelevant commercial driven articles. In addition, commercial academic search engines like Google Scholar capture personal data to generate revenue.