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Ratings and Reviews 0 Ratings
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What is JSTOR?
Enhance your research efforts by integrating primary sources from a diverse selection of high-quality materials and images gathered from around the world, including artworks, maps, and photographs. Approach public health from a multidisciplinary angle by exploring various media that bolster educational initiatives in this vital area. Broaden your research capabilities with a rich collection of images and primary sources, as we provide access to an extensive array of scholarly resources through a dynamic research and teaching platform. Our partnership with the academic community aims to help libraries connect students and faculty with essential materials, all while minimizing costs and optimizing shelf space. We also empower independent researchers by offering free and affordable access to academic resources and aiding publishers in reaching wider audiences, ensuring their works are preserved for future generations. JSTOR functions as a digital library tailored for those with a thirst for knowledge, promoting discovery, sharing, and connections among significant ideas. By utilizing this comprehensive resource, users can further their understanding and enhance their academic endeavors, ultimately fostering a more informed and engaged society. This collaborative approach not only enriches individual research but also contributes to the advancement of collective knowledge across disciplines.
What is Imagetwin?
In different types of visuals, such as microscopy images, light photography, and western blots, we often encounter instances of inappropriate duplication and manipulation. Imagetwin acts as a powerful resource in the peer-review framework, automatically identifying various integrity issues that can be quickly checked by reviewers. A significant number of scholarly articles reveal image-related concerns, including manipulation and plagiarism. While tools for automated text plagiarism detection are now widely used, there has been a notable absence of similar solutions aimed at ensuring image integrity until Imagetwin's introduction. The process of manually verifying images for these issues is not only labor-intensive and expensive but is also hindered by a lack of qualified personnel, resulting in numerous integrity concerns being overlooked. By integrating Imagetwin into the review process, publishers could greatly improve the efficiency and accuracy of image evaluations in academic research, ultimately fostering a more trustworthy scientific community. Moreover, the adoption of this technology may encourage more rigorous standards in image representation across various disciplines.
Integrations Supported
JSTOR Seeklight
API Availability
Has API
API Availability
Has API
Pricing Information
Pricing not provided.
Free Trial Offered?
Free Version
Pricing Information
€25 one-time payment
Free Trial Offered?
Free Version
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Supported Platforms
SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Customer Service / Support
Standard Support
24 Hour Support
Web-Based Support
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Training Options
Documentation Hub
Webinars
Online Training
On-Site Training
Company Facts
Organization Name
JSTOR
Company Location
United States
Company Website
www.jstor.org
Company Facts
Organization Name
Imagetwin
Date Founded
2022
Company Location
Austria
Company Website
imagetwin.ai