Plant Biotechnology Journal CiteScore 2024-2025 - ResearchHelpDesk - Plant Biotechnology Journal, an Open Access journal, publishes high-impact original research and incisive reviews with an emphasis on molecular plant sciences and their applications through plant biotechnology. Reasons to publish with Plant Biotechnology Journal High Impact Factor: 6.84 (in top 5 original research journals in plant sciences and number 1 Open Access journal in plant sciences). CiteScore: 6.88 (ranked number 1 among all Open Access journals in the plant sciences. Ranked number 1 among 320 agronomy and crop science journals) High standard, rigorous peer review. Broad dissemination with articles attracting high Altmetric scores. Open Access: fully compliant with Open Access mandates, articles are published under Creative Commons license and authors are the copyright holder. As an Open Access journal your research will be accessible globally without restriction. Our author centre provides promotional tools to help you maximise the impact of your article.

Nature Communications Impact Factor 2024-2025 - ResearchHelpDesk - Nature Communications is an open-access journal that publishes high-quality research from all areas of the natural sciences. Papers published by the journal represent important advances of significance to specialists within each field. Nature Communications is open access, multidisciplinary journal dedicated to publishing high-quality research in all areas of the biological, health, physical, chemical, and Earth sciences. Papers published by the journal aim to represent important advances of significance to specialists within each field. We are committed to providing an efficient service for both authors and readers. Our team of independent editors makes rapid and fair publication decisions. Prompt dissemination of accepted papers to a wide readership and beyond is achieved through a program of continuous online publication. Article and journal metrics Article metrics such as number of downloads, citations and online attention are available from each article page and provide an overview of the attention received by a paper. The 2018 journal metrics for Nature Communications are as follows: 2-year Impact Factor: 11.878 5-year Impact Factor: 13.811 Immediacy Index: 2.107 Eigenfactor® score: 1.10329 Article Influence Score: 5.402 2-year Median: 8 Nature Communications Abstract & Indexing DOAJ, MEDLINE, Web of Science, Scopus and Google Scholar. Nature Communications started in the year 2010 and has been growing ever since. Nature Communications doesn’t have a fixed publishing frequency. Their publishing frequency is continuous and upon acceptance. They have a very strict acceptance rate of 7.7%. They get over 50,000+ submissions every year. Nature Communications Article-processing charges Nature Communications is an open-access journal. To publish in Nature Communications, authors are required to pay an article-processing charge (APC). The APC for all published papers is as follows, plus VAT or local taxes where applicable: £3,790 (UK) $5,380 (The Americas, China, and Japan) €4,380 (Europe and rest of world) Nature communications ranking Title Type SJR H index Total Docs. (2018) Total Docs. (3years) Total Refs. (2018) Total Cites (3years) Citable Docs. (3years) Cites / Doc. (2years) Ref. / Doc. (2018) Nature Communications journal 5.992 Q1 248 5664 11692 273530 141425 10983 11.80 48.29 Nature communications details Country: United Kingdom H Index: 248 Subject Area and Category: Biochemistry, Genetics, and Molecular Biology, Biochemistry, Genetics and Molecular Biology (miscellaneous), Chemistry, Chemistry (miscellaneous), Physics and Astronomy, Physics and Astronomy (miscellaneous) Publisher: Nature Publishing Group Publication Type: Journals ISSN: 20411723 Coverage: 2010-ongoing

The Journal Impact Factor is often used as a proxy measure for journal quality, but the empirical evidence is scarce. In particular, it is unclear how peer review characteristics for a journal relate to its impact factor. We analysed 10,000 peer review reports submitted to 1,644 biomedical journals with impact factors ranging from 0.21 to 74.7. Two researchers hand-coded sentences using categories of content related to the thoroughness of the review (Materials and Methods, Presentation and Reporting, Results and Discussion, Importance and Relevance) and helpfulness (Suggestion and Solution, Examples, Praise, Criticism). We fine-tuned and validated transformer machine learning language models to classify sentences. We then examined the association between the number and percentage of sentences addressing different content categories and 10 groups defined by the Journal Impact Factor. The median length of reviews increased with higher impact factor, from 185 words (group 1) to 387 words (group 10). The percentage of sentences addressing Materials and Methods was greater in the highest Journal Impact Factor journals than in the lowest Journal Impact Factor group. The results for Presentation and Reporting went in the opposite direction, with the highest Journal Impact Factor journals giving less emphasis to such content. For helpfulness, reviews for higher impact factor journals devoted relatively less attention to Suggestion and Solution than lower impact factor journals. In conclusion, peer review in journals with higher impact factors tends to be more thorough, particularly in addressing study methods while giving relatively less emphasis to presentation or suggesting solutions. Differences were modest and variability high, indicating that the Journal Impact Factor is a bad predictor of the quality of peer review of an individual manuscript.

Plant Biotechnology Journal Publication fee - ResearchHelpDesk - Plant Biotechnology Journal, an Open Access journal, publishes high-impact original research and incisive reviews with an emphasis on molecular plant sciences and their applications through plant biotechnology. Reasons to publish with Plant Biotechnology Journal High Impact Factor: 6.84 (in top 5 original research journals in plant sciences and number 1 Open Access journal in plant sciences). CiteScore: 6.88 (ranked number 1 among all Open Access journals in the plant sciences. Ranked number 1 among 320 agronomy and crop science journals) High standard, rigorous peer review. Broad dissemination with articles attracting high Altmetric scores. Open Access: fully compliant with Open Access mandates, articles are published under Creative Commons license and authors are the copyright holder. As an Open Access journal your research will be accessible globally without restriction. Our author centre provides promotional tools to help you maximise the impact of your article.

Journal of advanced research Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Advanced Research (abbreviated as J. Adv. Res.) is an applied/natural sciences, peer-reviewed journal with interdisciplinary activity. The journal aims to make significant contributions to applied research and knowledge across the globe through publication of original, high-quality research articles in the following fields: 1) Medicine 2) Pharmaceutical Sciences 3) Dentistry 4) Physical Therapy 5) Veterinary Medicine 6) Basic and Biological Sciences such as: biology, molecular biology, biotechnology, chemistry, physics, biophysics, geology, astronomy, biophysics and environmental science. 7) Mathematics, Engineering, and Computer Sciences and 8) Agricultural Science In addition to original research articles, Journal of Advanced Research publishes reviews, mini-reviews, case reports, letters to the editor, and commentaries, thereby providing a forum for reports and discussions on cutting edge perspectives in science. All submitted papers are subjected to strict single blind peer reviewing process. The Journal is committed to publishing manuscripts via a rapid, impartial, and rigorous review process. Once accepted, manuscripts are granted free online open-access immediately upon publication, which permits its users to read, download, copy, distribute, print, search, or link to the full texts, thus facilitating access to a broad readership. The journal is published 6 times per year.

Answers to a survey on gold Open Access run from July to October 2016. The dataset contains 15,235 unique responses from Web of Science published authors. This survey is part of a PhD thesis from the University of Granada in Spain. More details about the study can be found in the full text document, also available in Zenodo.

Following are listed the questions related to the WoS 2016 dataset. Please note that countries with less than 40 answers are listed as "Other" in order to preserve anonymity.

* 1. How many years have you been employed in research?

• Fewer than 5 years
• 5-14 years
• 15-24 years
• 25 years or longer

Many of the questions that follow concern Open Access publishing. For the purposes of this survey, an article is Open Access if its final, peer-reviewed, version is published online by a journal and is free of charge to all users without restrictions on access or use.

* 2. Do any journals in your research field publish Open Access articles?

• Yes
• No
• I do not know

* 3. Do you think your research field benefits, or would benefit from journals that publish Open Access articles?

• Yes
• No
• I have no opinion
• I do not care

* 4. How many peer reviewed research articles (Open Access or not Open Access) have you published in the last five years?

• 1-5
• 6-10
• 11-20
• 21-50
• More than 50

* 5. What factors are important to you when selecting a journal to publish in?

[Each factor may be rated “Extremely important”, “Important”, “Less important” or “Irrelevant”. The factors are presented in random order.]

• Importance of the journal for academic promotion, tenure or assessment
• Recommendation of the journal by my colleagues
• Positive experience with publisher/editor(s) of the journal
• The journal is an Open Access journal
• Relevance of the journal for my community
• The journal fits the policy of my organisation
• Prestige/perceived quality of the journal
• Likelihood of article acceptance in the journal
• Absence of journal publication fees (e.g. submission charges, page charges, colour charges)
• Copyright policy of the journal
• Journal Impact Factor
• Speed of publication of the journal

6. Who usually decides which journals your articles are submitted to? (Choose more than one answer if applicable)

• The decision is my own
• A collective decision is made with my fellow authors
• I am advised where to publish by a senior colleague
• The organisation that finances my research advises me where to publish
• Other (please specify) [Text box follows]

7. Approximately how many Open Access articles have you published in the last five years?

• 0
• 1-5
• 6-10
• More than 10
• I do not know

[If the answer is “0”, the survey jumps to Q10.]

* 8. What publication fee was charged for the last Open Access article you published?

• No charge
• Up to €250 ($275)
• €251-€500 ($275-$550)
• €501-€1000 ($551-$1100)
• €1001-€3000 ($1101-$3300)
• More than €3000 ($3300)
• I do not know

[If the answer is “No charge or I don’t know” the survey jumps to Q20. ]

* 9. How was this publication fee covered? (Choose more than one answer if applicable)

• My research funding includes money for paying such fees
• I used part of my research funding not specifically intended for paying such fees
• My institution paid the fees
• I paid the costs myself
• Other (please specify) [Text box follows]

* 10. How easy is it to obtain funding if needed for Open Access publishing from your institution or the organisation mainly responsible for financing your research?

• Easy
• Difficult
• I have not used these sources

* 11. Listed below are a series of statements, both positive and negative, concerning Open Access publishing. Please indicate how strongly you agree/disagree with each statement.

[Each statement may be rated “Strongly agree”, “Agree”, “Neither agree nor disagree”, “Disagree” or “Strongly disagree”. The statements are presented in random order.]

• Researchers should retain the rights to their published work and allow it to be used by others
• Open Access publishing undermines the system of peer review
• Open Access publishing leads to an increase in the publication of poor quality research
• If authors pay publication fees to make their articles Open Access, there will be less money available for research
• It is not beneficial for the general public to have access to published scientific and medical articles
• Open Access unfairly penalises research-intensive institutions with large publication output by making them pay high costs for publication
• Publicly-funded research should be made available to be read and used without access barrier
• Open Access publishing is more cost-effective than subscription-based publishing and so will benefit public investment in research
• Articles that are available by Open Access are likely to be read and cited more often than those not Open Access

This study and its questionnaire are based on the SOAP Project (http://project-soap.eu). An article describing the highlights of the SOAP Survey is available at: https://arxiv.org/abs/1101.5260. The dataset of the SOAP survey is available at http://bit.ly/gSmm71. A manual describing the SOAP dataset is available at http://bit.ly/gI8nc.

IntroductionJournal self-citation contributes to the overall citation count of a journal and to some metrics like the impact factor. However, little is known about the extent of journal self-citations in COVID-19 research. This study aimed to determine the journal self-citations in COVID-19 research and to compare them according to the type of publication and publisher.MethodsData in COVID-19 research extracted from the Web of Science Core Collection 2020–2023 was collected and further analyzed with InCites. The journals with the highest self-citation rates and self-citation per publication were identified. Statistical comparisons were made according to the type of publication and publishers, as well as with other major infectious diseases.ResultsThe median self-citation rate was 4.0% (IQR 0–11.7%), and the median journal self-citation rate was 5.9% (IQR 0–12.5%). 1,859 journals (13% of total coverage) had self-citation rates at or above 20%, meaning that more than one in five references are journal self-citations. There was a positive and statistically significant correlation of self-citations with the other indicators, including number of publications, citations, and self-citations per publication (p

IntroductionJournal self-citation contributes to the overall citation count of a journal and to some metrics like the impact factor. However, little is known about the extent of journal self-citations in COVID-19 research. This study aimed to determine the journal self-citations in COVID-19 research and to compare them according to the type of publication and publisher.MethodsData in COVID-19 research extracted from the Web of Science Core Collection 2020–2023 was collected and further analyzed with InCites. The journals with the highest self-citation rates and self-citation per publication were identified. Statistical comparisons were made according to the type of publication and publishers, as well as with other major infectious diseases.ResultsThe median self-citation rate was 4.0% (IQR 0–11.7%), and the median journal self-citation rate was 5.9% (IQR 0–12.5%). 1,859 journals (13% of total coverage) had self-citation rates at or above 20%, meaning that more than one in five references are journal self-citations. There was a positive and statistically significant correlation of self-citations with the other indicators, including number of publications, citations, and self-citations per publication (p

The New England Journal of Medicine Acceptance Rate - ResearchHelpDesk - The New England Journal of Medicine (NEJM) is the world’s leading medical journal and website. Published continuously for over 200 years, NEJM delivers high-quality, peer-reviewed research and interactive clinical content to physicians, educators, and the global medical community. Our mission is to bring physicians the best research and information at the intersection of biomedical science and clinical practice and to present this information in understandable and clinically useful formats that inform health care delivery and improve patient outcomes. To these ends, the NEJM editorial team employs rigorous: Editorial, peer, and statistical review processes to evaluate manuscripts for scientific accuracy, novelty, and importance. Policies and practices to ensure that authors disclose all relevant financial associations and that such associations in no way influence the content NEJM publishes. A truly global brand, NEJM keeps health care professionals at the leading edge of medical knowledge, helps them to gain broad understanding in their areas of interest, and provides valuable perspectives on the practice of medicine. Today, NEJM is the most widely read, cited, and influential general medical periodical in the world. More than 600,000 people from nearly every country read NEJM in print and online each week. Each year, NEJM receives more than 16,000 research and other submissions for consideration for publication. About 5% of original research submissions achieve publication by NEJM; more than half originate from outside the U.S. NEJM is cited more often in scientific literature than any other medical journal, and has the highest Journal Impact Factor (70.670) of all general medical journals (2018 Journal Citation Reports, Web of Science Group, 2019). NEJM is a Public Access Journal. All original research content is freely available on NEJM.org six months after the date of publication. In addition, qualifying low-income countries are granted free access to all articles on NEJM.org dating back to 1990. The editors may also make certain materials including articles on global health and of public health importance free to all readers immediately upon publication on NEJM.org

As China’s political and economic centre, the Beijing–Tianjin–Hebei (BTH) urban agglomeration experiences serious environmental challenges on particulate matter (PM) concentration, which results in fundamental or irreparable damages in various socioeconomic aspects. This study investigates the seasonal and spatial distribution characteristics of PM2.5 concentration in the BTH urban agglomeration and their critical impact factors. Spatial interpolation are used to analyse the real-time monitoring of PM2.5 data in BTH from December 2013 to May 2017, and partial least squares regression is applied to investigate the latest data of potential polluting variables in 2015. Several important findings are obtained: (1) Notable differences exist amongst PM2.5 concentrations in different seasons; January (133.10 mg/m3) and December (120.19 mg/m3) are the most polluted months, whereas July (38.76 mg/m3) and August (41.31 mg/m3) are the least polluted months. PM2.5 concentration shows a periodic U-shaped variation pattern with high pollution levels in autumn and winter and low levels in spring and summer. (2) In terms of spatial distribution characteristics, the most highly polluted areas are located south and east of the BTH urban agglomeration, and PM2.5 concentration is significantly low in the north. (3) Empirical results demonstrate that the deterioration of PM2.5 concentration in 2015 is closely related to a set of critical impact factors, including population density, urbanisation rate, road freight volume, secondary industry gross domestic product, overall energy consumption and industrial pollutants, such as steel production and volume of sulphur dioxide emission, which are ranked in terms of their contributing powers. The findings provide a basis for the causes and conditions of PM2.5 pollution in the BTH regions. Viable policy recommendations are provided for effective air pollution treatment.

Journal of Animal Science Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of Animal Science (JAS) is the premier journal for animal science and serves as the leading source of new knowledge and perspective in this area. JAS publishes more than 500 fully reviewed research articles, invited reviews, technical notes, and letters to the editor each year. Articles published in JAS encompass a broad range of research topics in animal production and fundamental aspects of genetics, nutrition, physiology, and preparation and utilization of animal products. Articles typically report research with beef cattle, companion animals, goats, horses, pigs, and sheep; however, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will be considered for publication. Official Journal of the American Society of Animal Science American Society of Animal Science (ASAS) Mission The American Society of Animal Science fosters the discovery, sharing and application of scientific knowledge concerning the care and responsible use of animals to enhance animal and human health and well-being. These core principles and beliefs are the foundation for ASAS and will guide the implementation of this 5-year strategic plan. Animals are essential to human life and well-being. The care and use of animals are held to the highest standards of integrity and professional ethics. Research and scientific information are communicated in an open, transparent, and dynamic manner. Career development for animal scientists, educators, and producers is essential to the viability of the allied and animal industries. Animal science and the production of animal-sourced foods must continually evolve to meet the needs and values of society. The History of ASAS The American Society of Animal Science (ASAS) celebrated its 100-year anniversary in 2008. During the first 100 years, ASAS broadened membership to more than 7000 members. ASAS developed diverse and dynamic membership programs, and fostered the growth of the premier journal in animal science and the premier animal science meetings. In 2008, the American Society of Animal Science celebrated 100 years of sharing great research and supporting science careers. ASAS was established on July 28, 1908, at Cornell University, Ithaca, New York. A group of animal nutritionists, representing 13 state agricultural experiment stations and the U.S. Department of Agriculture, met during a summer school session and formed a permanent organization with a focus on animal nutrition research. On November 26, 1908, the group met and formed an organization called the American Society of Animal Nutrition. Thirty-three charter members represented 17 state experiment stations, the U.S. Department of Agriculture, and Canada. A constitution was adopted, and 4 committees were established: 1) experiments, 2) terminology, 3) methods of reporting results, and 4) affiliation. The objectives of the new society were: 1. to improve the quality of investigation in animal nutrition, 2. to promote more systematic and better correlated studies of feeding problems, and 3. to facilitate personal interaction between investigators in this field. The first professional papers were presented at the Livestock Exposition Hall in Chicago from November 27–29, 1909. At the business meeting, the membership voted to publish proceedings of the annual meeting representing the first journal publications. During the first year, 100 members joined the society. At the business meeting in 1912, efforts were made to broaden the membership base to include scientists from other disciplines. On November 30, 1915, the name of the society was changed from the American Society of Animal Nutrition to the American Society of Animal Production, and an amendment to the constitution was passed to include members interested in teaching, breeding, and management investigations as well as nutritionists. In addition, a committee on instruction was added. At that time there were 114 members. Growth in membership was almost continuous; by the golden anniversary year in 1958 there were 1,829 members. A second name change was approved at the 53rd annual business meeting in Chicago on November 24, 1961, when the official name became the American Society of Animal Science (ASAS). ASAS expanded to meet the diverse needs of its members by adding sections (Midwest, South, Northeast, and West) with their own meetings. In 1998, ASAS joined forces with its sister societies, the American Dairy Science Association (ADSA) and the Poultry Science Association (PSA), to form the Federation of Animal Science Societies (FASS) to help foster a voice for professional animal scientists. Even with the many changes in ASAS membership, it is unlikely that anyone could have envisioned the growth and change in membership demographics that occurred in the last 10 years. In 1998, about 40% of ASAS membership were also ADSA members. The ASAS membership was more than 75% men. There were few graduate student members, no undergraduate members and only 15% of ASAS members lived outside of the United States. One of the major goals of the 2008 strategic plan was to increase and diversify the ASAS membership. Today, ASAS enjoys a membership of more than 6,000 members, 30% from outside the United States, and almost 50:50 split in gender demographics, approximately 800 graduate students and 1,000 undergraduate student members. In the 2008 ASAS Strategic plan, we recognized that it was time to change one of the most fundamental roles of ASAS in the field of animal sciences and in society. In addition to providing science-based information to ASAS members, ASAS began to build an external voice to communicate and distribute information pertaining to the responsible use of animals in research, teaching, and production. At the direction of the 2008 ASAS Strategic Plan, ASAS initiated an autonomous science policy program governed by ASAS that works with many other groups, created AnimalSmart.com and the accompanying Junior Animal Science program, redesigned and distributed the Image Gallery, added a global scientific magazine Animal Frontiers, created an active and respected Snack and Fact program for Congressional staff in Washington D.C., and ensured an active presence of ASAS members on Capitol Hill. As ASAS moves forward, we need to continue these programs, add to their robustness, and ensure that the programs represent the needs of the global ASAS membership. The 2008, strategic plan helped ASAS grow and diversify its membership. An unintended consequence of this diversification was a change in the ASAS infrastructure. In 2014, ASAS sold its equity shares in FASS as FASS no longer met the growing needs of ASAS. Since 2008, technological advances have also helped change how ASAS communicates internally and externally. For example, ASAS has globalized our communications (i.e., webinars and virtual meetings), taken posters to a new level (i.e., ePosters), created an almost continuous flow of information to the membership worldwide (i.e., Taking Stock), made it possible to push information out in real time, and has diversified our publication portfolio (i.e., Journal of Animal Science, Animal Frontiers, Natural Science Education, and Translational Animal Science) and our publications model (i.e., integration of all journals into a Digital Library, traditional publication, open access, and open review). In addition, technology has helped us add new methods to facilitate scientific communication around the word (i.e., JASEdits). Vision for the Future As ASAS enters its second century, we are changing to adapt to current and future conditions and environments. ASAS will continue to be the world leader as a source of scientific information on the contributions of animals to food and fiber production. We recognize, however, that animals contribute greatly to enhancing the human life and wellbeing in a wide variety of ways, including companionship, recreation, and human aid. Therefore, the broader vision of ASAS is to be a diverse community of professionals recognized as the leading source of new knowledge and perspective on animals that enhance human life and well-being. ASAS facilitates global scientific exchange through innovative and inclusive venues. In the next century, we will look for new opportunities to partner with other professional organizations and non-traditional venues. We are working to become a facilitator of effective interactions among academia, industry, government agencies, and other stakeholders to reach consensus regarding science-based animal issues. Continued leadership in providing a scientific voice of animal science to the broader public is an inherent component in facilitating scientific exchange. To deal with the many contributions of animals to society, we recognize that it is vital for animal science professionals to be trained in a variety of disciplines. To this end, ASAS will provide member services and professional development opportunities in a proactive and accountable manner. Through our meetings, journal, and professional development opportunities, ASAS will be the training ground for future animal scientists. RG Journal Impact: 0.42 * *This value is calculated using ResearchGate data and is based on average citation counts from work published in this journal. The data used in the calculation may not be exhaustive. RG Journal impact history 2020 Available summer 2021 2018 / 2019 0.42 2017 0.30 2016 1.33 2015 2.33 2014 2.48 2013 2.33 2012 2.36 2011 2.35 2010 2.52 2009 2.70 2008 2.74 2007 2.14 2006 1.60 2005 1.36 Additional details Cited half-life 0.00 Immediacy index 0.43 Eigenfactor 0.02 Article influence 0.58 H Index 138 Website http://jas.fass.org Other titles Journal of animal science (Online), Journal of animal science OCLC 41472131

Journals, type of publication and publisher datasets based in COVID-19 research.

Snapshot img

Medical Publishing Market Size 2025-2029

The medical publishing market size is forecast to increase by USD 1.81 billion, at a CAGR of 2.8% between 2024 and 2029.

The market is experiencing significant shifts, with the rise of digital publishing being a key driver. Traditional print media is increasingly being replaced by electronic formats, offering advantages such as accessibility, convenience, and cost savings. This trend is further accentuated by the transition towards Open Access (OA) publication models, which allow free online access to scholarly research. However, the market faces challenges as well. The high subscription costs of electronic and print media pose a significant barrier for many stakeholders, including institutions, researchers, and individual subscribers.
Additionally, the increasing volume of published research and the need for timely and accurate information necessitate efficient methods for information discovery and management. Companies seeking to capitalize on market opportunities and navigate these challenges effectively must focus on delivering affordable, accessible, and high-quality medical content through innovative digital solutions. These costs can limit access to critical medical information and hinder the advancement of research and patient care.

Major Market Trends & Insights

  North America dominated the market and accounted for a 50% growth during the forecast period.
  The market is expected to grow significantly in Europe as well over the forecast period.
  By the Type, the Open access model sub-segment was valued at USD 8.43 billion in 2023
  By the Product, the Journals sub-segment accounted for the largest market revenue share in 2023

Market Size & Forecast

  Market Opportunities: USD 27.09 billion
  Future Opportunities: USD 1.81 billion 
  CAGR : 2.8%
  North America: Largest market in 2023

What will be the Size of the Medical Publishing Market during the forecast period?

Get Key Insights on Market Forecast (PDF) Request Free Sample

The market continues to evolve, driven by advancements in technology and the growing demand for accessible and high-quality research. Pre-print servers and post-print servers are increasingly integrated into the publishing process, enabling faster dissemination of research articles. Author self-archiving policies and manuscript tracking systems facilitate efficient manuscript submission and review. The peer review process remains a cornerstone of publishing, with impact factor calculation and citation analysis metrics shaping research priorities. Crossref integration and ORCID integration streamline reference linking and author identification. Scholarly communication is further enhanced by editorial workflow management, publication ethics guidelines, and semantic enrichment techniques. Digital content delivery through online publishing platforms and open access publishing has gained significant traction, with bibliographic databases and citation management tools supporting information retrieval and analysis.
Journal management software, metadata schema implementation, and data visualization techniques ensure high-quality and accessible content. An example of the market's continuous dynamism is the increase in article processing charges, which have risen by 10% annually in recent years. This trend reflects the shifting business model towards open access publishing and the need for sustainable revenue streams. The medical publishing industry is expected to grow by 5% per annum, driven by these evolving trends and the ongoing demand for reliable and accessible research. Artificial intelligence (AI) and machine learning (ML) technologies play a pivotal role in enhancing digital asset security, image recognition, content moderation, and object recognition.

How is this Medical Publishing Industry segmented?

The medical publishing industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD million' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Type

  Open access model
  Subscription-based model


Product

  Journals
  E-books
  Print books


Platform

  Digital
  Print


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    Spain
    UK


  APAC

    China
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Type Insights

The Open access model segment is estimated to witness significant growth during the forecast period. Open access is a publishing model that makes research information available to readers free of cost, unlike the traditional subscription model, in which readers have access to scholarly information by paying a subscription or fee. The open-access model includes research that is digital, free to access, and free from most o

Journal of Cancer and Tumor International Impact Factor 2024-2025 - ResearchHelpDesk - Journal of Cancer and Tumor International (ISSN: 2454-7360) aims to publish high quality papers (Click here for Types of paper) in all areas of ‘Cancer and Tumor research’. This journal facilitates the research and wishes to publish papers as long as they are technically correct, scientifically motivated. The journal also encourages the submission of useful reports of negative results. This is a quality controlled, OPEN peer reviewed, open access International journal. This journal will have 4 issues per year. Each issue will be running issue and all officially accepted manuscripts will be immediately published online. State-of-the-art running issue concept gives authors the benefit of 'Zero Waiting Time' for the officially accepted manuscripts to be published. From 2015, every volume of this journal will consist of 4 issues. Every issue will consist of minimum 5 papers.

BackgroundAnesthesiology research is growing at a rapid pace. It is essential to understand the scope and trends over time to identify gaps and future areas for growth. Systematic reviews and meta-analyses (SRMA) are summaries of the best available evidence to address a specific research question via a comprehensive literature search, in-depth analyses, and synthesis of results. High-quality SRMA are increasingly used and play an essential role in medical research.ObjectiveWe aimed to explore the trends of SRMA in indexed anesthesia journals.MethodsSRMA published in indexed anesthesia journals from 2013 to 2023 were retrieved from the Web of Science database. Data were presented via descriptive statistics. We used CiteSpace 6.1.R6 to analyze countries, institutions, journals, authors, and keywords through visual maps to explore the research hotspots and trends. The journal’s Journal Citation Reports partition, impact factor, annual publications, journals H-index, and a number of highly-cited papers were calculated in the WoS database.ResultsA total of 34 indexed anesthesia journals and 3,004 SRMA were included. The year 2021 was the year with the most SRMA (385/3,004). Out of the 3,004 SRMAs, 36 (0.03%) were highly cited papers, and 22 of the 36 highly cited papers focused on “pain management.” BRITISH JOURNAL OF ANAESTHESIA had the highest 5-year impact factor (9.6) in 2022 Journal Citation Reports, the most significant number of publications (268/3,004), the highest total number of citations (13,173/86,145), and the most significant number of SRMAs cited more than 100 (36/160). ANAESTHESIA achieved the highest impact factor in the 2022 Journal Citation Reports (10.7) and the highest average annual citations (58.82). PAIN had the highest number of highly cited papers (15/36). The United States of America was the most productive country, with 823/3,004 SRMAs. University Toronto had the highest number of publications (245/3,004). The most frequent of keywords was the topic “Pain Management” (1,622/29.1%).ConclusionThis present study would be valuable to practitioners, academics, researchers, and students in understanding the dynamics of progress in anesthesiology.

This entity describes the impact of Urbanisation on the River Environment by calculating the Substrate type Impact factor. It is derived from surveyed Inorganic Substrate data using raster GIS. Values of manmade over 5%, or a high sand or silt content define the Substrate Type as (Urban) impacted.It is spatially abstracted to a line.Entity type: Concept

OVERVIEW

This data file, compiled from multiple online sources, presents 2013–2017 publication counts—articles, articles in high-impact journals, books, and books from high-impact publishers—for 2,132 professors and associate professors in 426 U.S. departments of sociology. It also includes information on institutional characteristics (e.g., institution type, highest sociology degree offered, department size) and individual characteristics (e.g., academic rank, gender, PhD year, PhD institution).

The data may be useful for investigations of scholarly productivity, the correlates of scholarly productivity, and the contributions of particular individuals and institutions. Complete population data are presented for the top 26 doctoral programs, doctoral institutions other than R1 universities, the top liberal arts colleges, and other bachelor's institutions. Sample data are presented for Carnegie R1 universities (other than the top 26) and master's institutions.

USER NOTES

Please see our paper in Scholarly Assessment Reports, freely available at https://doi.org/10.29024/sar.36 , for full information about the data set and the methods used in its compilation. The section numbers used here refer to the Appendix of that paper. See the References, below, for other papers that have made use of these data.

The data file is a single Excel file with five worksheets: Sampling, Articles, Books, Individuals, and Departments. Each worksheet has a simple rectangular format, and the cells include just text and values—no formulas or links. A few general notes apply to all five worksheets.

• The yellow column headings represent institutional (departmental) data. The blue column headings represent data for individual faculty.

• iType is institution type, as described in section A.2—TopR (top research universities), R1 (other R1 universities), OD (other doctoral universities), M (master's institutions), TopLA (top liberal arts colleges), or B (other bachelor's institutions). nType provides the same information, but as a single-digit code that is more useful for sorting the rows; 1=TopR, 2=R1, 3=OD, 4=M, 5=TopLA, and 6=B.

• Inst is a four-digit institution code. The first digit corresponds to nType, and the last three digits allow for alphabetical sorting by institution name. Indiv is a one- or two-digit code that can be used to sort the individuals by name within each department. The Inst, nType, and Indiv codes are consistent across the five worksheets.

• For binary variables such as Full professor and Female, 1 indicates yes (full professor or female) and 0 indicates no (associate professor or male).

The five worksheets represent five distinct stages in the data compilation process. First, the Sampling worksheet lists the 1,530 base-population institutions (see section A.3) and presents the characteristics of the faculty included in the data file. Each row with an entry in the Individual column represents a faculty member at one of the 426 institutions included in the data set. Each row without an entry in the Individual column represents an institution that either (a) did not meet the criteria for inclusion (section A.1) or (b) was not needed to attain the desired sample size for the R1 or M groups (section A.3).

The Articles worksheet includes the data compiled from SocINDEX, as described in section A.6. Each row with an entry in the Journal column represents an article written by one of the 2,132 faculty included in the data. Each row without an entry in the Journal column represents a faculty member without any article listings in SocINDEX for the 2013–2017 period. (Note that SocINDEX items other than peer-reviewed articles—editorials, letters, etc.—may be listed in the Journal column but assigned a value of 1 in the Excluded column and a value of 0 in the Article credit and HI article credit columns. We assigned no credit for items such as editorial and letters, but other researchers may wish to include them.) The N and i columns represent, for each article, the number of authors (N) and the faculty member's place in the byline (i), as described in section A.8. The CiteScore and Highest percentile columns were used to identify high-impact journals, as indicated in the HI journal column. The Article credit and HI article credit columns are article counts, adjusted for co-authorship.

The Books worksheet includes data compiled from Amazon and other sources, as described in section A.7. Each row with an entry in the Book column represents a book written by one of the 2,132 faculty. Each row without an entry in the Book column represents a faculty member without any book listings in Amazon during the 2013–2017 period. The publication counts in the Books worksheet—Book credit and HI book credit—follow the same format as those in the Articles worksheet.

The Individuals worksheet consolidates information from the Articles and Books worksheets so that each of the 2,132 individuals is represented by a single row. The worksheet also includes several categorical variables calculated or otherwise derived from the raw data—Years since PhD, for instance, and the three corresponding binary variables. We suspect that many data users will be most interested in the Individuals worksheet.

The Departments worksheet collapses the individual data so that each of the 426 institutions (departments) is represented by a single row. Individual characteristics such as Female and Years since PhD are presented as percentages or averages—% Female and Avg years since PhD, for instance. Each of the four productivity measures is represented by a departmental total, an average (the total divided by the number of full and associate professors), a departmental standard deviation, and a departmental median.

ABSTRACT The purpose of this study was to investigate the scientific production of Speech-Language Pathology and Audiology at the interface with Obstructive Sleep Apnea, considering impact factor, level of evidence and corresponding area of the Speech-Language Pathology and Audiology. A literature search was performed in databases Lilacs, PubMed and Scopus, through the intersection of keywords and specific free terms of Speech-Language Pathology and Audiology and "Sleep Apnea, Obstructive". For the article would be included in this study, needed to approach as the main axis the Speech-Language Pathologist acting in patients with Obstructive Sleep Apnea. Were held a consultation on the WebQualis CAPES, investigating specific journals of Speech-Language Pathology and Audiology of Area 21 and their respective Qualis. Selected articles were analyzed for impact factor, level of evidence and area of the corresponding Speech-Language Pathology and Audiology. Were located 983 articles, being selected 39, originated mainly from Scopus. The prevalent was the Qualis B1, with an average impact factor of 3,49; higher number of publications of 2006, level of evidence 5 and the Speech-Language Pathology and Audiology prevalent area was the Orofacial Myology. The analysis of the scientific production of Speech-Language Pathology and Audiology was performed at the interface with Obstructive Sleep Apnea, verifying that the Orofacial Myology and the evidence level 5 predominated in this context.

Background: Attribution to the original contributor upon reuse of published data is important both as a reward for data creators and to document the provenance of research findings. Previous studies have found that papers with publicly available datasets receive a higher number of citations than similar studies without available data. However, few previous analyses have had the statistical power to control for the many variables known to predict citation rate, which has led to uncertain estimates of the "citation benefit". Furthermore, little is known about patterns in data reuse over time and across datasets. Method and Results: Here, we look at citation rates while controlling for many known citation predictors, and investigate the variability of data reuse. In a multivariate regression on 10,555 studies that created gene expression microarray data, we found that studies that made data available in a public repository received 9% (95% confidence interval: 5% to 13%) more citations than similar studies for which the data was not made available. Date of publication, journal impact factor, open access status, number of authors, first and last author publication history, corresponding author country, institution citation history, and study topic were included as covariates. The citation benefit varied with date of dataset deposition: a citation benefit was most clear for papers published in 2004 and 2005, at about 30%. Authors published most papers using their own datasets within two years of their first publication on the dataset, whereas data reuse papers published by third-party investigators continued to accumulate for at least six years. To study patterns of data reuse directly, we compiled 9,724 instances of third party data reuse via mention of GEO or ArrayExpress accession numbers in the full text of papers. The level of third-party data use was high: for 100 datasets deposited in year 0, we estimated that 40 papers in PubMed reused a dataset by year 2, 100 by year 4, and more than 150 data reuse papers had been published by year 5. Data reuse was distributed across a broad base of datasets: a very conservative estimate found that 20% of the datasets deposited between 2003 and 2007 had been reused at least once by third parties. Conclusion: After accounting for other factors affecting citation rate, we find a robust citation benefit from open data, although a smaller one than previously reported. We conclude there is a direct effect of third-party data reuse that persists for years beyond the time when researchers have published most of the papers reusing their own data. Other factors that may also contribute to the citation benefit are considered.We further conclude that, at least for gene expression microarray data, a substantial fraction of archived datasets are reused, and that the intensity of dataset reuse has been steadily increasing since 2003.

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