Raw data belonged to the study of use and sharing of raw research data in the Journal Citation Reports' Emergency Medicine Category.

Multiple linear regression for n = 4792 journals with complete JCR data (2005–2017).

Version: 6

Date of data collection: May 2025

General description: Publication of datasets according to the FAIR principles could be reached publishing a data paper (and/or a software paper) in data journals as well as in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.

File list:

- data_articles_journal_list_v6.xlsx: full list of 177 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v6.csv: full list of 177 academic journals in which data papers or/and software papers could be published
- readme_v6.txt, with a detailed descritption of the dataset and its variables.

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 6th version
- Information updated: number of journals (17 were added and 4 were deleted), URL, document types associated to a specific journal.
- Information added: diamond journals were identified.

Version: 5

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2023/09/05

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v5.xlsx: full list of 162 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v5.csv: full list of 162 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 5th version
- Information updated: number of journals, URL, document types associated to a specific journal.
163 journals (excel y csv)

Version: 4

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/12/15

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v4.xlsx: full list of 140 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v4.csv: full list of 140 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 4th version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR), Scopus and Web of Science (WOS), Journal Master List.

Version: 3

Authors: Carlota Balsa-Sánchez, Vanesa Loureiro

Date of data collection: 2022/10/28

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v3.xlsx: full list of 124 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_3.csv: full list of 124 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 3rd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Journal Citation Reports (JCR) and/or Scimago Journal and Country Rank (SJR).

Erratum - Data articles in journals Version 3:

Botanical Studies -- ISSN 1999-3110 -- JCR (JIF) Q2
Data -- ISSN 2306-5729 -- JCR (JIF) n/a
Data in Brief -- ISSN 2352-3409 -- JCR (JIF) n/a

Version: 2

Author: Francisco Rubio, Universitat Politècnia de València.

Date of data collection: 2020/06/23

General description: The publication of datasets according to the FAIR principles, could be reached publishing a data paper (or software paper) in data journals or in academic standard journals. The excel and CSV file contains a list of academic journals that publish data papers and software papers.
File list:

- data_articles_journal_list_v2.xlsx: full list of 56 academic journals in which data papers or/and software papers could be published
- data_articles_journal_list_v2.csv: full list of 56 academic journals in which data papers or/and software papers could be published

Relationship between files: both files have the same information. Two different formats are offered to improve reuse

Type of version of the dataset: final processed version

Versions of the files: 2nd version
- Information updated: number of journals, URL, document types associated to a specific journal, publishers normalization and simplification of document types
- Information added : listed in the Directory of Open Access Journals (DOAJ), indexed in Web of Science (WOS) and quartile in Scimago Journal and Country Rank (SJR)

Total size: 32 KB

Version 1: Description

This dataset contains a list of journals that publish data articles, code, software articles and database articles.

The search strategy in DOAJ and Ulrichsweb was the search for the word data in the title of the journals.
Acknowledgements:
Xaquín Lores Torres for his invaluable help in preparing this dataset.

In this study, the presence and distribution of both Mendeley readerships (usage) and Web of Science (WoS) citations for the publications published in the 43 Iranian international journals indexed in JCR have been investigated. The aim was to determine the impact, visibility and use of the publications published by the Iranian international journals in Mendeley compared to their citation impact; furthermore, to explore if there is any relation between these two impact indicators (Mendeley readership counts and WoS citation counts) for these publications (i.e. the extent to which Mendeley readership counts correlate with citation indicators). The DoIs of the 1,884 publications[1] used to extract the readerships data from Mendeley REST API in February 2014 and citations data until end of 2013 calculated using CWTS in-house WoS database. SPSS (version 21) used to analyze the relationship between the readerships and citations for those publications. The Mendeley usage distribution both at the publication level (across publications years, fields and document types) and at the user level (across users’ disciplines, academic status and countries) have been investigated. These information will help to understand the visibility and usage vs citation pattern and impact of Iranian scientific outputs. The findings indicate that 52% of those publications are saved in Mendeley; also, these publications on average have more readership per paper (RPP) (2.63) than citation per paper (CPP) (.49); also, the publications with at least one Mendeley readers exhibits more CPP (.49) compared to those that are not saved in Mendeley (i.e. with zero readership) (.39). This may indicate the benefit of saving document in Mendeley for these publications. In terms of relations with citation, a weak spearman correlation (r = 0.179) has been found between Mendeley readership counts and citation indicators. This may suggest that users use these scientific outputs for reasons other than using and citing them in their scholarly practices (such as learning, teaching, self-awareness, etc.) which worth to explore in further research. These findings also indicate that at the publication level, articles and reviews; publications from year 2013 and Medical and Engineering are among the most common document types, publication year and disciplines saved in Mendeley. Regarding the user level, Iranian international publications are mostly used by users from countries such as US, UK and Germany; PhDs as an academic status and disciplines such as Engineering, biological and medical sciences. Mendeley readership data offers useful statistics and metadata about the impact and usage pattern of scientific outputs by different user types that are not available by citation databases; this information helps to formulate other types of impact than only scientific one and could be used as an informative and complimentary tool beside citation databases in interpreting impact of scholarly outputs. still many research needed to be done to dig more into these new metrics; their meaning and validity and reliability before its application in research evaluation. Keywords: altmetrics, Mendeley, JCR, WoS, Iranian international Publications; research evaluation [1]. Out of 16,478 publications, 1,884 of them have DOIs out of which 1,389 were saved in Mendeley .

Source: http://www.ucop.edu/ucophome/uwnews/stat/statsum/fall2007/statsumm2007.pdf (table 9).

The classification in reproducible and not reproducible models was made by Tiwari et al.

Citations were looked up in Scopus, Web of Science and Google Scholar.

The following journals had to be excluded, as Journal Impact Factors (JIF) were missing or papers were discontinued: * Experientia was closed 1996 and continued as Cellular and Molecular Life Sciences 1997 * The American journal of physiology – split into fields 1977, further splits in 1980 and 1989 * IFAC Proceedings Volumes – last issue 2014, continued as IFAC-PapersOnLine * Mathematical and Computer Modelling – discontinued as of 2014 * IOP Conference Series: Materials Science and Engineering – not a journal but conference proceedings – no impact factor listed * Infectious Disease Modelling – no impact factor found * Jurnal Teknologi – no impact factor found * JCO clinical cancer informatics – no impact factor found * Quantitative biology (Beijing, China) – no impact factor found * Letters in Biomathematics – no impact factor found * Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference – no impact factor found * Haemostasis – discontinued; no impact factor found

It was tried to include as many papers as possible.

As the JIF is calculated every year, an average JIF of the Journal Citation Reports from 2014 to 2021 was calculated and used for the analysis. The results do not differ qualitatively if only the JIF of 2021 was used. As the Journal Impact Factor reports belong to Clarivate the JCR data was not uploaded to the repository.

Datasets for publication: 'Measuring the excellence contribution at the journal level: An alternative to Garfield's Impact Factor'.

Overview. Overview of the number of journals, publications, excellent publications and multidisciplinarity for each category considered.

ALL. Journal indicators for all the document types by JCR category.

ALL_JCR. Journal indicators for all the document types by JCR category (only journals indexed in the JCR category are taken into account).

AR. Journal indicators for only articles and reviews by JCR category.

AR_JCR. Journal indicators for only articles and reviews by JCR category (only journals indexed in the JCR category are taken into account).

Here are the data for papers [1,2]. The 1st excel sheet ("theory") has data for Figures 1, 2 of [1]. The 2nd sheet ("JCR data") has data for Figures 3, 4, 5, 6 of [1], and Figure 1 of [2].A. Data in the "theory" sheet:2nd row: Citation count, c, of a single paper published by a journal of Impact Factor f1=10 and biennial size N1. We have chosen c to range from 0 to 1000 in our data. 2nd column: biennial size N1 of journal. We have chosen N1 to range from 10 to 2500 in our data. The data in the cells from C3 to EC283 in the sheet are calculations of the volatility, Δf(c), as defined in Eq. (4) of [1].B. Data in the "JCR data" sheet:The publication and citation data below are from each journal's individual Journal Citation Report for 2017. Impact Factor. These are data from the 2017 Journal Citation Reports (JCR).Journal biennial size, N2Y. This is the number of articles & reviews published in 2015-2016 by each journal.Citation average, f. This is the average number of citations received in 2017 by the articles & reviews published in 2015-2016.Volatility, Δf(c*): This is defined as f - f* (see below for f*)Relative volatility, Δfr(c*): This is defined as (f - f*)/f* (see below for f*)Top-cited paper, c*: This is the citation count of the top-cited paper in each journal, in the year 2017. Citation average excluding top-cited paper, f*: This is the average number of citations received in 2017 by the articles & reviews published in 2015-2016, once we exclude the top-cited paper (article or review). AcknowledgmentThis work uses data, accessed through Columbia University, from the Web of Science and Journal Citation Reports (2017) with explicit consent from Clarivate Analytics.References [1] M. Antonoyiannakis, Impact Factor volatility to a single paper: A comprehensive analysis, Quantitative Science Studies (2020, accepted), https://arxiv.org/abs/1911.02533[2] M. Antonoyiannakis, How a single paper affects the Impact Factor: Implications for Scholarly Publishing, Proceedings of the 17th Conference of the International Society on Scientometrics & Informetrics, vol. II, 2306-2313 (2019), https://arxiv.org/abs/1906.02660

A mixed sampling methodology was implemented (Figure 1) to collect journals and articles. First, a selection filter was applied within the Institute for Scientific Information (ISI) Journal Citation Report (https://jcr.clarivate.com) database to generate a list of 504 life science journals. Then, exclusion criteria were applied to the journal list and 245 periodicals were removed. Filters and exclusion criteria are given in Table 1. Using a pseudo-random sequence of 20 numbers between 1 and 259 generated using GraphPad QuickCalc (https://www.graphpad.com/quickcalcs/randMenu), a final shortlist of 20 journals among the 259 preselected ordered by decreasing 2018 Impact Factor were selected (the latest available impact factor at the time of designing this study). Four additional journals were finally excluded either because they were eventually found to be too clinical or because there was no online access granted to the author’s institution, leading to a final list of 16 periodicals (Table 3). Clinical journals were excluded although they may include publications with some preclinical experiments. This was justified to prevent the possible bias created by both the presumed small proportion of such articles in clinical periodicals which would have prompted a larger sampling and the supposed compliance of these studies with clinical guidelines whose standards may be different 29,30. Fifteen articles per journal were collected by sampling the online contents of each journal, starting from the last issue released in 2019 and browsing backward. This time window was selected to avoid the abundant literature on Coronavirus disease 2019 (Covid-19) published since January 2020, which might show unusual statistical standards. Article inclusion and exclusion criteria are presented in Table 2. Studies using human data were acceptable when they used ex-vivo/in-vitro approaches for extracting tissues, cells or samples. From this intermediate list of 240 articles, 17 were finally excluded during the analysis due to previously unnoticed violations of inclusion criteria or for congruity with exclusion criteria, resulting in a final sample set that included 223 articles. Assessment of reportingEach article was explored, and three types of statistical attributes were quantified (Table 4). Indicators of the transparency of study protocols were binary items coded as 0 (presence of all needed information in the text) or 1 (absence of information in the text for at least one figure or table) and were aggregated as proportions of articles that had an insufficiency (non-disclosure) for the given item. The indicators were chosen as the minimum set of information needed by a reader to replicate the statistical protocol: precise sample size (experimental units), well identified test, software and no contradiction. A contradictory information is defined as a mismatch between information provided in different parts of the manuscript although they refer to the same object, such as the disclosure of dissimilar statistical tests (in methods and figure legends) to describe the analysis in one figure or the disclosure of multiple sample sizes for one single set of data. The article structure was assessed using quantitative items, specified as total counts of given items as well as one binary outcome (presence of a statistical paragraph). Qualitative items represented the article content and have been summarised as an inventory of information of interest. In the sampled articles, supplemental methods and information were considered full-fledged methodological information, but supplementary figures and tables presenting results were not eligible for the quantification of statistical insufficiencies, even if they were used to report location tests.

The availability of research data sets is an important milestone since it can enhance the dynamics of research. This study aims to analyze the PubMed Central repository to determine the availability and type of raw data sets in Cell & Tissue Engineering journals indexed in the Journal Citation Reports. The number and types of files were registered. A search of the 21 journals from the Cell & Tissue Engineering category of the 2015 Journal Citation Reports was conducted. Information was collected from October to December 2016. A study of the supplementary material of the original articles published between 2011-2015 was performed through a search in the PubMed Central repository, which is the most used free full-text repository in biomedicine. Only articles with supplementary material were retrieved. The number and types of files were registered. In cases where a compressed file, such as a .zip or .rar file, was found, it was opened to check what kinds of files it contained.

Background The impact factors of scientific journals are interesting but not unproblematic. It is speculated that the number of journals in which citations can be made correlates with the impact factors in any given speciality. Methods Using the Journal Citation Report (JCR) for 1997, a bibliometric analysis was made to assess the correlation between the number of journals available in different fields of clinical medicine and the top impact factor. A detailed study was made of dermatological journals listed in the JCR 1991–2000, to assess the relevance of this general survey. Results Using the 1997 JCR definitions of speciality journals, a significant linear correlation was found between the number of journals in a given field and the top impact factor of that field (rs = 0.612, p < 0.05). Studying the trend for dermatological journals 1991 to 2000 a similar pattern was found. Significant correlations were also found between total number of journals and mean impact factor (rs = 0.793, p = 0.006), between the total number of journals and the top impact factor (rs = 0.759, p = 0.011) and between the mean and the top impact factor (rs = 0.827, p = 0.003). Conclusions The observations suggest that the number of journals available predict the top impact factor. For dermatology journals the top and the mean impact factor are predicted. This is in good agreement with theoretical expectations as more journals make more print-space available for more papers containing citations. It is suggested that new journals in dermatology should be encouraged, as this will most likely increase the impact factor of dermatological journals generally.

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Curated databases of the project "Academic publishing requires linguistically inclusive policies."

"CuratedDatabase_Guidelines.txt" and "CuratedDatabase_Survey.txt" contain information about the linguistic policies of journals in biological sciences. Their information was collected from author guidelines and surveys to editors-in-chief, respectively. Additional information from the journal was extracted from the 2020 Journal Citation Reports (JCR).

Description, data type, and scoring options of the databases' fields (columns)

"CuratedDatabase_Guidelines.txt"'

• Collaborator: Anonymised identifier of collaborator who collected the information. Categorical.
• SurveyAnswer: Whether the editor-in-chief of the editor accepted the request to complete the survey. Categorical. YES, NO.
• Journal_JCR: Anonymised identifier of the journal name. Text.
• ImpactFactor_JCR: Impact Factor of the journal as per JCR. Numeric.
• OA_JCR: Percentage of Golden Open Access articles as per JCR. Numeric.
• Discipline_JCR: Discipline of the journal as per JCR. Categorical.
• CountryPublication_JCR: Country or region of publication of the journal as per JCR. Categorical.
• LanguageCountry: Language of the country where the journal is published. Categorical. English, Non-English.
• IssuesPerYear_JCR: Regularity as number of issues published by year as per JCR. Numeric.
• PublisherType: Business model of the journal's publisher. Categorical. Profit, Non-profit.
• SocietyJournal: Whether the journal is published on behalf of a scientific society. Categorical. 0 for NO, 1 for YES.
• Language: Languages in which the journal publish content. Text.
• RegionalGlobal: Whether the journal explicitly target to a global or regional audience. Categorical. Global, Regional.
• LinguisticDiversityEditors: Proportion of editors that are based in countries where English is not predominantly spoken. Numeric.
• EnglishEditingService: Type of English editing services that the journal provides to authors. Categorical. 0 for NONE, 1 for COMMERCIAL, 2 for FREE.
• AdditionalSupport: Additional support that journals offer to authors. Text.
• AdditionalLanguageGuidelines: Whether the author guidelines are available in languages other than English. Categorical. 0 for ONLY ENGLISH, 1 for ADDITIONAL LANGUAGES IN SOME SECTIONS, 2 for ADDITIONAL LANGUAGES.
• LanguageGuidelines: If apply, languages in which the author guidelines are available.
• LinguisticInclusivityStatement: Whether the journal clearly states that a paper will not be rejected solely by the perceived quality of English. Categorical. NO, YES.
• AdditionalLanguageManuscripts: Whether the journal publish entire manuscripts in languages other than English. Categorical. 0 for NO, 1 for YES.
• AdditionalLanguageAbstract: Whether the journal publish abstracts in languages other than English. Categorical. 0 for NO, 1 for YES.
• WhereSecondAbstract: If apply, the format in which the journal publish abstracts in languages other than English. Categorical.
• ProofReadingAL: If apply, whether the non-English content is proofread. Categorical.
• ReferencesAdditionalLanguage: Whether the journal publish references in languages other than English. Categorical. 0 for PROHIBITED/NO-MENTION, 1 for ALLOWED, 2 for ENCOURAGED.
• AutomaticTranslationTools: Whether the journal's website implement machine translation tools to read the manuscripts in languages other than English. 0 for NO, 1 for YES.

"CuratedDatabase_Survey.txt"

• Journal_JCR: Anonymised identifier of the journal name. Text.
• ImpactFactor_JCR: Impact Factor of the journal as per JCR. Numeric.
• OA_JCR: Percentage of Golden Open Access articles as per JCR. Numeric.
• SocietyJournal: Whether the journal is published on behalf of a scientific society. Categorical. 0 for NO, 1 for YES.
• LinguisticDiversityEditors: Proportion of editors that are based in countries where English is not predominantly spoken. Numeric.
• AdditionalLanguageManuscripts: Whether the journal publish entire manuscripts in languages other than English. Categorical. 0 for NO, 1 for YES.
• EnglishEditingService: Type of English editing services that the journal provides to authors. Categorical. 0 for NONE, 1 for COMMERCIAL, 2 for FREE.
• ReferencesAdditionalLanguage: Whether the journal publish references in languages other than English. Categorical. 0 for PROHIBITED/NO-MENTION, 1 for ALLOWED, 2 for ENCOURAGED.
• InstructionsReviewers: Whether reviewers are instructed to avoid recommending the rejection manuscripts solely based on the perceived standard of English. 0 for NO, 1 for YES.
• InstructionsEditors: Whether editors are instructed to avoid rejecting manuscripts solely based on the perceived standard of English. 0 for NO, 1 for YES.
• YearStartLinguisticPolicies: For journals that publish content in languages other than English, the year in which those policies were implemented. Numeric. Values "1920" correspond to "Before 1920."
• AdditionalLanguageAbstract: Whether the journal publish abstracts in languages other than English. Categorical. 0 for NO, 1 for YES.

Journals & Ranking

An academic journal or research journal is a periodical publication in which research articles relating to a particular academic discipline is published, according to Wikipedia. Currently, there are more than 25,000 peer-reviewed journals that are indexed in citation index databases such as Scopus and Web of Science. These indexes are ranked on the basis of various metrics such as CiteScore, H-index, etc. The metrics are calculated from yearly citation data of the journal. A lot of efforts are given to make a metric that reflects the journal's quality.

Journal Ranking Dataset

This is a comprehensive dataset on the academic journals coving their metadata information as well as citation, metrics, and ranking information. Detailed data on their subject area is also given in this dataset. The dataset is collected from the following indexing databases: - Scimago Journal Ranking - Scopus - Web of Science Master Journal List

The data is collected by scraping and then it was cleaned, details of which can be found in HERE.

Key Features

• Rank: Overall rank of journal (derived from sorted SJR index).
• Title: Name or title of journal.
• OA: Open Access or not.
• Country: Country of origin.
• SJR-index: A citation index calculated by Scimago.
• CiteScore: A citation index calculated by Scopus.
• H-index: Hirsh index, the largest number h such that at least h articles in that journal were cited at least h times each.
• Best Quartile: Top Q-index or quartile a journal has in any subject area.
• Best Categories: Subject areas with top quartile.
• Best Subject Area: Highest ranking subject area.
• Best Subject Rank: Rank of the highest ranking subject area.
• Total Docs.: Total number of documents of the journal.
• Total Docs. 3y: Total number of documents in the past 3 years.
• Total Refs.: Total number of references of the journal.
• Total Cites 3y: Total number of citations in the past 3 years.
• Citable Docs. 3y: Total number of citable documents in the past 3 years.
• Cites/Doc. 2y: Total number of citations divided by the total number of documents in the past 2 years.
• Refs./Doc.: Total number of references divided by the total number of documents.
• Publisher: Name of the publisher company of the journal.
• Core Collection: Web of Science core collection name.
• Coverage: Starting year of coverage.
• Active: Active or inactive.
• In-Press: Articles in press or not.
• ISO Language Code: Three-letter ISO 639 code for language.
• ASJC Codes: All Science Journal Classification codes for the journal.

Rest of the features provide further details on the journal's subject area or category: - Life Sciences: Top level subject area. - Social Sciences: Top level subject area. - Physical Sciences: Top level subject area. - Health Sciences: Top level subject area. - 1000 General: ASJC main category. - 1100 Agricultural and Biological Sciences: ASJC main category. - 1200 Arts and Humanities: ASJC main category. - 1300 Biochemistry, Genetics and Molecular Biology: ASJC main category. - 1400 Business, Management and Accounting: ASJC main category. - 1500 Chemical Engineering: ASJC main category. - 1600 Chemistry: ASJC main category. - 1700 Computer Science: ASJC main category. - 1800 Decision Sciences: ASJC main category. - 1900 Earth and Planetary Sciences: ASJC main category. - 2000 Economics, Econometrics and Finance: ASJC main category. - 2100 Energy: ASJC main category. - 2200 Engineering: ASJC main category. - 2300 Environmental Science: ASJC main category. - 2400 Immunology and Microbiology: ASJC main category. - 2500 Materials Science: ASJC main category. - 2600 Mathematics: ASJC main category. - 2700 Medicine: ASJC main category. - 2800 Neuroscience: ASJC main category. - 2900 Nursing: ASJC main category. - 3000 Pharmacology, Toxicology and Pharmaceutics: ASJC main category. - 3100 Physics and Astronomy: ASJC main category. - 3200 Psychology: ASJC main category. - 3300 Social Sciences: ASJC main category. - 3400 Veterinary: ASJC main category. - 3500 Dentistry: ASJC main category. - 3600 Health Professions: ASJC main category.

Longitudinal behavior of Altmetrics in Orthodontic research: Analysis of the orthodontic journals indexed in the journal citation reports from 2014 to 2018 A first search was carried out, in December 2019, in the inCites JCR database to select orthodontic journals that were included in the category of dentistry, oral surgery, and medicine of the JCR during the period from 2014 to 2018. The online interest generated by the orthodontic research outputs, was observed and tracked through the Dimensions free app https://app.dimensions.ai/discover/publication in the Dimensions database. The search was limited to the nine journals listed in the JCR in 2018, which were the American Journal of Orthodontics & Dentofacial Orthopedics (AJODO), The Angle Orthodontist, The European Journal of Orthodontics (EJO), Progress in Orthodontics, Korean Journal of Orthodontics (KJO), Orthodontics & Craniofacial Research (OCR), Journal of Orofacial Orthopedics/Fortschritte der Kieferorthopädie, Seminars in Orthodontics, and the Australian Orthodontic Journal. The Dimension App was used to carry out the search and the following filters were applied: publication year (2018 or 2017 or 2016 or 2015 or 2014); source title (American Journal of Orthodontics & Dentofacial Orthopedics OR The European Journal of Orthodontics OR The Angle Orthodontist OR Korean Journal of Orthodontics OR Orthodontics & Craniofacial Research OR Journal of Orofacial Orthopedics/Fortschritte der Kieferorthopädie OR Progress in Orthodontics OR Seminars in Orthodontics OR the Australian Orthodontic Journal). Data were exported to an Excel data sheet (Microsoft Office for Mac version 16.43). In December 2021 a second search was performed on the Dimension Web app by the members of the research team introducing the DOI or the article title of the 3678 items included in the 2019 sample. Here are presented the data related to the 3678 analysed Items divided per journal, the number of altmetrics mentions is presented for each item at both time intervals as well as their change over the studied period.

Journal of the ACM Impact Factor 2024-2025 - ResearchHelpDesk - The Journal of the ACM (JACM) provides coverage of the most significant work on principles of computer science, broadly construed. The scope of research we cover encompasses contributions of lasting value to any area of computer science. To be accepted, a paper must be judged to be truly outstanding in its field. JACM is interested in work in core computer science and at the boundaries, both the boundaries of subdisciplines of computer science and the boundaries between computer science and other fields. Scope The best indicator of the scope of the journal is provided by the areas covered by its Editorial Board. These areas change from time to time, as the field evolves. The following areas are currently covered by a member of the Editorial Board: Algorithms and Combinatorial Optimization Algorithms and Data Structures Algorithms, Combinatorial Optimization, and Games Artificial Intelligence Complexity Theory Computational Biology Computational Geometry Computer Graphics and Computer Vision Computer-Aided Verification Cryptography and Security Cyber-Physical, Embedded, and Real-Time Systems Database Systems and Theory Distributed Computing Economics and Computation Information Theory Logic and Computation Logic, Algorithms, and Complexity Machine Learning and Computational Learning Theory Networking Parallel Computing and Architecture Programming Languages Quantum Computing Randomized Algorithms and Probabilistic Analysis of Algorithms Scientific Computing and High Performance Computing Software Engineering Web Algorithms and Data Mining Abstracting and Indexing AI2 Semantic Scholar AMS MathSciNet Baidu Clarivate / ISI: JCR Clarivate / ISI: SCI Clarivate / ISI: SCIE CNKI DBLP DeepDyve DTU (Technical University of Denmark) EBSCO: EDS EBSCO: HOST Elsevier: EI Compendex Elsevier: SciMago Elsevier: SCOPUS EPO (European Patent Office) ExLibris Google Scholar IEEE: Xplore IET Inspec iGroup Meta - Chan Zuckerberg Initiative Microsoft Academic Search NII (National Institute of Informatics) OCUL Scholars Portal Odysci OhioLink Pathgather ProQuest: Summon® Service SIPX SUWECO WorldCat WTI Yewno zbMATH

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File S1: Bibliometric data from 2010–2018 of the 123 selected journals among the 168 journals in Zoology and 101 in Entomology, plus top ten zoological journals (TTJ, eight are on JCR) available in the Web of Science Core Collection, Journal Citation Reports (JCR) Science Edition database of Clarivate.; File 2: of percentage of journal-level self-citation in Zootaxa based on JCR/Clarivate 2019.; File 3: Number of citations based on JCR/Clarivate 2019 and notations of observed effects on bibliometric measures compared to Zootaxa.

Replication data for regression models in the article Introducing the UCDP CID, as published in Journal of Conflict Resolution