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Reading: SciSpace : The Best AI Tool for Research and Literature Review
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Tech

SciSpace : The Best AI Tool for Research and Literature Review

Patrick Humphrey
Last updated: 2025/04/05 at 12:56 AM
Patrick Humphrey
10 Min Read
SciSpace

VISIT SCISPACE.COM

SciSpace’s main goal is to employ artificial intelligence (AI) to comprehend and connect research publications, which is crucial for anyone conducting a literature review. From locating publications that address your research issue to assisting you in comprehending important findings, Scispace can support you at every stage. With SciSpace, you can identify where all of the material came from because each response is cited with a short link. Six examples of how this one tool can improve your literature review are as follows:

1. Using a question rather than keywords to search literature
2. Using AI to search your current PDF collection for particular criteria
3. Using a single PDF to locate pertinent material and provide conceptual explanations
4. AI detection, paraphrasing, and scientific writing
5. ChatGPT Plus discussion on SciSpace
Let’s begin:

1. Semantic Literature Search: From the Outset

SciSpace is a useful resource for literature searches. You don’t have to rely on keyword searches with SciSpace, which can lead to you missing relevant literature. Alternatively, you can use a keyword or question to search your documents. We refer to this as a semantic search. Internally, SciSpace uses artificial intelligence (AI) to first comprehend your search query and then compare it with the information found in the 282 million papers in its database at the time of writing.

A paragraph of text responding to your query will be the outcome of your search. It will typically employ academic language and include five to ten citations. The publications are listed separately below, and you can add columns that highlight certain study findings. In the aforementioned example, we are trying to provide a synopsis of the study’s location and model organism for a collection of ecological publications.
After choosing the articles that appear pertinent, you can click the “Show more like selected” button to further narrow down your search. SciSpace will add related papers to the list of chosen papers after learning a little more about your search terms.

Is it possible to do a systematic literature review using AI search?

In general, no. All literature that meets certain requirements is systematically reviewed in a systematic literature review (e.g., adopts a certain technique). This makes it possible for others to replicate your search (and results). However, using an AI algorithm frequently results in (1) somewhat different findings each time and (2) sometimes incomplete results. Your review is not systematic since it is not replicable. As a result, while conducting a systematic literature review, avoid using AI for searching.


However, you may use SciSpace to examine the publications for criteria after you have located them using a replicable keyword search in a database such as Pubmed. You’ll save a ton of time doing this.

2. Using AI to analyze your current PDF collection

SciSpace can be used to search through the content of a collection of PDFs that you already have. This is helpful when working on a systematic literature review and choosing publications using a replicable keyword search, or when you are dealing with more specialized literature that might not be in their database. You must upload your documents as the initial step.

The papers will appear in your library as a table after they have been uploaded. This table can have columns added to it. In each column, a question is addressed or a feature of each piece is summed up. The ability to build custom columns is the most potent feature. For instance, my collection on range alterations due to climate change is enormous. It is commonly believed that plants change their ranges and places due to climate change. But an increasing amount of research indicates that plant species competition is also important. I created a column called “Relevance to biotic interactions” in order to locate all papers that address these alleged “biotic interactions.” Take note of how several research in the screenshot below have a N/A in this column. This indicates that the article is unrelated to this specific subject, and we discovered this without even opening the PDF!

3. SciSpace CoPilot: Comprehensive analysis for a single article

CoPilot is a SciSpace PDF reader function. You may have an AI discussion with a paper using Copilot. Ask questions after uploading a paper or choosing one from your library. To think more like a scientist, you may even instruct CoPilot to suggest questions. Furthermore, even though the paper may be in English, you can communicate in any language you like because CoPilot is multilingual.

Less content summarization and more usage of CoPilot as an AI-powered search engine inside the paper are some of its strongest use cases. For instance, you will make claims in your paper that require citations. You can upload the cited PDF to SciSpace and ask, “Does this paper support the statement…?” to make sure your citation is accurate. The handbook to academic writing with AI has further details on this topic.

Giving conversational AI bots a single task at a time maximizes their performance. SciSpace provides the ability to ask follow-up questions in order to accomplish increasingly complicated problems. Ask it to pinpoint the main issue in a paper, for instance, and then suggest a remedy.

4. Academic Writing with SciSpace

As the name implies, the paraphraser tool has the ability to paraphrase text. When translating extremely technical information into more informal language or vice versa, it is useful to be able to alter the tone. You can then vary the length of your text and the degree of these adjustments.

Finally, you can convert your texts into any language using the paraphrasing tool. If you create a “dirty” paragraph in your native tongue and have AI convert it to academic English, this can be helpful.

Additionally, Scispace offers an AI detector for academic writing. Whether or not AI-generated texts can be identified is now up for dispute. However, if you’ve been using ChatGPT for a while, you’ll notice that it frequently uses the same structures in all of its responses (for example, “In summary…”). This is a sample of a text I created that was heavily aided by AI (check out this approach), but never simply copied and pasted sentences. Rather, the literary pattern was inspired by AI, which also paraphrased some obstinate sentence fragments. The outcome is quite accurate:

5. Making use of SciSpace in ChatGPT

A powerful and adaptable tool, ChatGPT lacks a precise grasp of scientific subjects. ChatGPT’s conversational capabilities combined with SciSpace’s massive publishing database make it a very potent tool. This is accomplished by a personalized GPT assistance.

6. Saving Notes to Notebooks

SciSpace has a potential new feature called notebooks it allows you to integrate highlights in papers, chats with the Copilot (step 3) and your own work into a single document. Consider a notebook as a single document to which you can add content in a process that is somewhat automatic. This isn’t particularly noteworthy on its own, but SciSpace lets you handle these notebooks in the same way that you would submitted PDFs. This implies you may analyze notebooks (whether you uploaded them manually or collected in SciSpace) and bulk analyze them using AI (see step 2). If a significant portion of your knowledge base consists of your notes, this can be quite helpful.

VISIT SCISPACE.COM

Summary

SciSpace provides tools to support the literature review process at every level:

When searching for publications, add the ones that address your issue to your library by using the literature review option.

After building your library, focus on the most important works of literature by comparing and contrasting studies using the AI columns.

Once the Key Literature has been located, use CoPilot to supplement your careful reading and note-taking with questions.

Because the search results are not always replicable, a semantic search is not a good choice for a systematic literature review.

SciSpace is completely free. They do, however, provide a premium subscription that entitles users to a more sophisticated and limitless version of the copilot capability. You shouldn’t overlook SciSpace as a useful tool for your literature review.

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