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10 March 2021
Journal Selector: Helping to Find the Right MDPI Journal for Your Article
At MDPI, we strive to make your online publication process seamless and efficient. To achieve this, our team is continuously developing tools and features to make the user experience useful and convenient.
As the number of academic papers continues to grow, so does the need to analyze and work with them on a large scale. This prompted us to design a new feature aimed at helping researchers find journals that are relevant to their publication by matching their abstract topic. In this regard, we designed a similarity model that automatically identifies the most suitable academic journals for your paper.
We are pleased to introduce Journal Selector, a new feature that measures similarity in academic contexts. By simply entering the title and/or abstract into our Journal Selector, the author will see a list of the most related scientific journals published by MDPI. This method helps authors select the correct journals for their papers, highlighting the time of publication and citability.
The methodology is known as representation learning, where words are represented as vectors in hyperspace. Representation helps us differentiate between different concepts within articles, and in turn, helps us identify similarities between them.
We used an advanced machine learning model to better capture the semantic meanings of words. This helps the algorithm make better predictions by leveraging scientific text representation. In turn, this ensures high precision, helping authors decide which journal they should submit their paper to.
The goal is to support authors to publish their work in the most suitable journal for their research, as fast as possible, accelerating their career progress.
Contact: Andrea Perlato, Head of Data Analytics, MDPI (email)
15 December 2020
MDPI adopts C4DISC principles to improve diversity and inclusion in scholarly communications
MDPI is proud to adopt the principles of the Coalition for Diversity & Inclusion in Scholarly Communications (C4DISC) to support building equity, inclusion, diversity, and accessibility in scholarly communications.
The C4DISC represents organizations and individuals working in scholarly communications and is focused on addressing issues of diversity and inclusion within the publishing industry.
MDPI’s Managing Editors encourage the Editors-in-Chief and Associate Editors to appoint diverse expert Editorial Boards. This is also reflective in our multi-national and inclusive workplace. We are proud to create equal opportunities without regard to gender, ethnicity, geographic location, sexual orientation, age, disability, political beliefs, religion, or socio-economic status. There is no place for discrimination in our workplace and editors of MDPI journals are to uphold these principles in high regard.
Representatives from C4DISC meet monthly, and have started to implement initiatives to shed light and improve on the lack of diversity in scholarly communications. Some of the initiatives include developing a joint statement of principles; conducting market research; providing training resources, best practices, toolkits, and documentation for our collective memberships; and establishing outreach programs, curricula, events, and publications.
The Coalition is committed to:
- eliminating barriers to participation, extending equitable opportunities across all stakeholders, and ensuring that our practices and policies promote equitable treatment and do not allow, condone, or result in discrimination;
- creating and maintaining an environment that respects diverse traditions, heritages, and experiences;
- promoting diversity in all staff, volunteers, and audiences, including full participation in programs, policy formulation, and decision-making;
- raising awareness about career opportunities in our industries to groups who are currently underrepresented in the workforce;
- supporting our members in achieving diversity and inclusion within their organizations.
14 December 2020
Article Layout and Templates Revised for Future Volumes
At MDPI we have slightly revised the layout for articles to be published in the 2021 Volume, starting at the end of December 2020. As of today, the article templates available for download on ‘Instructions for Authors’ pages have been updated.
The most noticeable change can be found on the first page of the article, where a left-hand column has been created to include the following front matter elements: (i) the recommended citation style for the article, (ii) the publishing history, (iii) as well as the Creative Commons Attribution license used (iv) a standard note regarding affiliations. At the same time, the extra spacing on the left means the authors’ affiliations are now more clearly set apart than before. Other front matter key elements such as journal logo, article type, article title, authors, abstract and keywords remain unchanged.
The blank column on the left runs through all pages in an article; as a result, the main text is slightly more condensed, which improve reader friendliness for smaller screens. Small figures/tables are aligned on the left with standard indenture, while large figures/tables are centered and covering the full width of the page. The revised layout was applied in the article pictured below, to serve as an example:
1) Information is displayed in the left information bar.
2) In the main text, there is a blank column on the left.
3) Small tables/figures are aligned on the left, large tables/figures are centered.
11 December 2020
2020 "Highly Cited Researchers" on MDPI Journal's Editorial Boards
We are pleased to acknowledge that many academic editors who have made an impact on MDPI journals as editorial board members, editors-in-chief, or section editors, are recognized as 2020 Highly Cited Researchers by Clarivate.
Highly Cited Researchers highlights the top 1% of researchers, by citations, in one or more of the 22 fields used in Clarivate Analytics Essential Science Indicators. We offer our congratulations to 279 academic editors of MDPI journals who were recognized as the most influential scholars in their fields in 2020.
Agarwal, Ravi P.
Ahn, Choon Ki
Albrecht, Randy A.
Andersson, Dan I.
Anker, Stefan D.
Barba, Francisco J.
Benediktsson, Jon Atli
Bolton, Declan J.
Burdick, Jason A.
Byrd, John C.
Cabeza, Luisa F.
Cabrerizo-Lorite, Francisco Javier
Calhoun, Vince D.
Cantu, Robert C.
Cummings, Kenneth Michael
Decker, Eric A.
DePinho, Ronald A.
Ellis, Erle C.
Gandomi, Amir H.
Gandomi, Amir H.
Geschwind, Daniel H.
Giralt, Sergio A.
Goldewijk, Kees Klein
Guerrero, Josep M.
Hagger, Martin S.
Hamblin, Michael R.
Kalaji, Hazem M.
Kaner, Richard B.
Karimi, Hamid Reza
Keyzers, Robert A.
Khan, Nafees A.
Klemeš, Jiří Jaromír
Konopleva, Marina Y.
Krebs, Frederik C.
Kuznetsov, Nikolay V.
Kyrpides, Nikos C.
La Vecchia, Carlo
Leung, Victor C. M.
Lindahl, José M. Merigó
Lip, Gregory Y. H.
Loh, Xian Jun
Lyons, Timothy W.
Mateos, María Victoria
Mathiesen, Brian Vad
McArthur, Grant A.
Medlock, Jolyon M.
Miroshnichenko, Andrey E.
Mueller, Lukas A.
Nemeroff, Charles B.
Nieto, Juan J.
Oswald, Isabelle P.
Payne, James E.
Perez-Alvarez, Jose Angel
Piquero, Alex R.
Prinsep, Michele R.
Reiter, Russel J.
Rosen, Marc A.
The full list of 2020 Highly Cited Researchers can be accessed on https://recognition.webofsciencegroup.com/awards/highly-cited/2020/
--- Highly Cited Researchers (HCR) is a Clarivate product.