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Elsevier Research IntelligenceElsevier Fingerprint Engine The Elsevier Fingerprint Engine is a backend software system based on stateoftheart Natural Language Processing (NLP) techniques to extract
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How to fill out elsevier fingerprint engine

01
To fill out the Elsevier Fingerprint Engine, follow these steps:
02
Log in to your Elsevier account.
03
Navigate to the Fingerprint Engine section.
04
Click on 'Add New Fingerprint' button.
05
Fill in the required fields with relevant information such as title, authors, keywords, and abstract.
06
Upload the full-text of your research article.
07
Select the appropriate subject areas and research classifications for your article.
08
Review the information you provided and make any necessary edits.
09
Submit your fingerprint by clicking on the 'Save' or 'Submit' button.
10
Wait for the system to process and analyze your fingerprint.
11
Once the fingerprint is successfully created, it will be associated with your research article.
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Note: It is important to ensure that the information you provide is accurate and up-to-date to maximize the effectiveness of the Elsevier Fingerprint Engine.

Who needs elsevier fingerprint engine?

01
The Elsevier Fingerprint Engine is particularly useful for researchers, scientists, and academic professionals who want to enhance the visibility and discoverability of their research articles. It can benefit individuals and institutions who want to accurately identify and classify scholarly publications, as well as those who want to track and analyze research trends or collaborate with experts in specific fields. The Elsevier Fingerprint Engine helps streamline the research process and provides valuable insights for both researchers and research organizations.
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Elsevier Fingerprint Engine is a tool used for identifying and extracting key information from scientific documents.
Researchers, scientists, and authors who submit their work to Elsevier's databases may be required to use the Elsevier Fingerprint Engine.
To fill out the Elsevier Fingerprint Engine, users typically need to upload their documents or manuscripts to the platform for analysis and extraction of key information.
The purpose of the Elsevier Fingerprint Engine is to help users identify important information, trends, and connections within scientific documents for better data analysis and research insights.
Users may need to report key terms, concepts, authors, citations, and other relevant data from their scientific documents on the Elsevier Fingerprint Engine.
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