Linguamatica
Acceptance Rate · Rejection Rate · Submission Experiences · Editor Reviews · Publish Competitiveness
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Acceptance Rate
The definition of journal acceptance rate is the percentage of all articles submitted to Linguamatica that was accepted for publication. The acceptance rate of Linguamatica is still under calculation. Have you ever submitted your manuscript to Linguamatica? Share with us!
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Linguamatica
Journal Ranking
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Submission Outcome Reviews
Linguamatica
Journal Accpetance Rate Reviews
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Linguamatica
Acceptance Rate
Acceptance Rate
The acceptance rate for an academic journal is dependent upon the relative demand for publishing in a particular journal, the peer review processes in place, the mix of invited and unsolicited submissions, and time to publication, among others. As such, it may be a proxy for perceived prestige and demand as compared to availability. However, locating acceptance rates for individual journals or for specific disciplines can be difficult, yet is necessary information for promotion and tenure activities. Journals with lower article acceptance rates are frequently considered to be more prestigious and more “meritorious”. As an internal benchmark, most journals will not publish their acceptance rates on their website. From their perspective, a consistently low acceptance rate may prove to be a deterrent to future submissions. Moreover, the method of calculating acceptance rates varies among journals. Some journals use all manuscripts received as a base for computing this rate. Other journals allow the editor to choose which papers are sent to reviewers and calculate the acceptance rate on those that are reviewed that is less than the total manuscripts received. Also, many editors do not maintain accurate records on this data and provide only a rough estimate. In brief, Acceptance rate (or rejection rate) is the ratio of the number of articles submitted to the number of articles published. It can measure the selectivity or prestige of a journal, though like many journal metrics, the raw number is not the whole story.
Calculating & Comparing acceptance rates
The method of calculating acceptance rates varies. Some journals use all manuscripts received as a base for computing the rate. Others allow the editor to choose which papers are sent to reviewers and calculate the acceptance rate on those that are reviewed that is less than the total manuscripts received. Also, many editors do not maintain accurate records on this data and provide only a rough estimate. A prestigious and multidisciplinary journal like Science or Nature will receive many more submissions than they can accommodate in publishing, regardless of merit, resulting in a low acceptance rate. A special journal on a narrow topic (like a specific disease) may only have a limited number of experts writing in the field, resulting in a higher rate. Journals that publish a limited number of paper issues would have a lower rate.
Journal Acceptance Rate Feedback System
Journal Acceptance Rate Feedback System provides an open, transparent, and straightforward platform to help academic researchers support informed decisions through the wisdom of crowds. Academic Accelerator displays the exact community-driven data without secret algorithms, hidden factors, or systematic delay. Let us improve the transparency of peer-review process together!
Linguamatica
Journal Acceptance Rate Key Metrics
Journal Title | Linguamatica |
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ISSN | 1647-0818 |
ISSN (Online) | - |
Publisher |
Universidade do Minho
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Publication Frequency |
Semiannual
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Coverage |
2015 - Present
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Open Access |
YES
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Language |
Portuguese
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Editor with Highest Acceptance Rate | |
Editor with Lowest Acceptance Rate | |
Publish Competitiveness | Normal |
Annual Accepted Manuscripts (2022 - 2023) | |
Total Accepted Manuscripts | |
Publication Fees | https://academic-accelerator.com//Publication-Fee/Linguamatica |
Homepage | https://linguamatica.com/index.php/linguamatica |
Submit Manuscript | https://linguamatica.com/index.php/linguamatica/about/submissions |
About
Linguamática is a journal about natural language processing. Its main focus in the languages spoken in the Iberic Penisula, like the Portuguese, Galician, Catalan, Castilian, Basque, Mirandese or Aranese.