Cut Down on Your Time of Reading Articles with an AI-based Article Summarizer!

How to scan through millions of articles while reducing reading time at the same time? The best solution to reduce the time of reading scientific articles is to use an AI-based article summarizer!

Researcher 1: “Every time I turn on my laptop, I see a flood of articles!”

And researcher 2 answers him: “Why don’t you categorize your downloaded data?”

Researcher 1: “I have. But the amount of data is enormous. Where should I even start from?”

This conversation is not new for researchers who have started collecting scientific research data. Additional information, although an advantage in many ways, makes it difficult to identify and collect data relevant to your research paper. Even though you might have found all the necessary information for your research paper, you may not know which research paper should be prioritized for reading and you are lost under the pile of related articles. You cannot read 124 articles, 27 book chapters, 45 preprints, and 8 thesis chapters that you have downloaded. This takes a lot of time. If all these research papers are summarized wisely by article summarizer, your work will be much easier.

In this DoNotEdit article, we will tell you how researchers can determine which sources are relevant to their research topic and how they can optimize their study time using a research article summarizer.

AI-based article summarizer

Difficulty in Manually Collecting and Summarizing the Downloaded Research Data

One of the problems for researchers is the hassle of manually collecting relevant research data from multiple sources. They must identify, collect, and manage information relevant to the topic of their research paper. Prioritizing articles helps researchers to read them faster. However, the abundance of information causes researchers to put more effort into managing and analyzing research data.

Researchers are confused by summarizing articles. The secret to accurately summarizing a research paper is to understand the key points. Summarizing each article manually is a difficult process. The first step to summarizing an article is to read the entire article. However, how can you read an entire research paper from cover to cover and pay attention to the margins, headings, and even the sources of the article? Furthermore, the key points are not always clear. Reading each section separately to avoid missing key points is a tedious process.

Problems with Manual Review of Articles

In addition to the problem of redundant information, there are other problems with a manual review of articles including:

Selection basis: References should not be selected based on relevant keywords alone.

Lack of comprehensiveness: This occurs due to ambiguity in understanding the research question(s) and searching for information by incorrect or irrelevant terms.

Failure to test for evidence of diffusion: This can mislead your conclusions.

Lack of transparency/reproducibility: If review methods are not transparent and repeatable, they cannot be considered reliable.

How Can Researchers Select Relevant Research Articles to Read and Prioritize Their Reading?

Reading the title alone cannot be a determining factor for reading the article. Generally, researchers read the abstract, results, and conclusion to decide whether the article is worth further reading and is relevant to their research topic. However, it is time-consuming and difficult to do this for all articles related to the topic.

Finding the right information from the many downloaded sources is a tough task. An article can have several key aspects that are related to your research topic but not included in its abstract or conclusion. Researchers can get help from artificial intelligence and use new technologies to prioritize reading articles.

A potential solution to this problem is to summarize each section of the research paper by emphasizing its key aspects. This allows researchers to read only relevant material, save time, and most importantly, cite the right sources.

What is an AI-based Article Summarizer?

Research articles are generally divided into 6 sections, including abstract, introduction, materials and methods, results, discussion, and conclusion. Each of these sections contains a piece of key information that is important to the literature review of the paper. However, a large amount of research data and the limited amount of time are the obstacles in the decision-making process of prioritizing the reading of articles.

If the key points and findings of the article are automatically mentioned in the summary sections of each section, you can decide whether to read the article or not. This makes it easier to prioritize articles for reading without fear of losing important relevant information.

How Section-wise Article Summarizer Speed up Reading of Papers?

Reading downloaded research papers is a time-consuming process that requires undivided attention. Moreover, reading an article that is not related to your research topic is annoying.

Researchers can get help from a section-wise article summarizer as an AI-based tool that captures important aspects of research papers. Researchers cannot find the key points, new findings, research limitations, etc. just by reading the abstract and conclusion of the article. An article summarizer, which not only summarizes the research paper but also creates summaries based on each section while retaining all the key aspects of the essay, is a useful solution for this purpose.

The article summarizer helps users analyze data and relate it to their research topic, which in turn, helps them speed up their paper decision-making and prioritization process.

Knowledge Manager with Unique Features – Surpassing the Limits of Reference Managers!

There is another tool called Knowledge Manager that helps researchers prioritize reading articles and also provides a quick summary of the read articles.

With the progress of science, the volume of literature also increases. Hence, this huge amount of research data is too large to be organized by humans. There is a need for an efficient and reliable AI-based tool, such as a knowledge manager, that not only stores and organizes downloaded resources but also helps researchers prioritize articles to read.

Unique Features of Knowledge Manager

Knowledge Manager helps researchers with its unique features in these ways:

1. Quick understanding of downloaded resources;

2. Deciding which articles are a priority to read;

3. Citing related articles;

4. Creating summaries of each section without missing important details;

5. Helping to understand the key points of the articles; and

6. Providing a quick summary of the results of each article.

Are you still struggling to collect and manage research data? Do you know which articles to prioritize reading? Install the AI-based knowledge manager and article summarizer tool to make reading articles faster and easier.

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