The database includes information on Russian journals published by Federal universities, National Research universities and Basic universities and covers such aspects as indexing information in different bibliographic databases, volumes of indexed papers in 2018-2022, rankings in different databases, subject categories, geographical locations, numbers of issues per year, list of founders, journals sites, etc. (in total 59 variables).

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.

Polymer engineering and science Impact Factor 2024-2025 - ResearchHelpDesk - Polymer engineering and science - Every day, the Society of Plastics Engineers (SPE) takes action to help companies in the plastics industry succeed. How? By spreading knowledge, strengthening skills and promoting plastics. Employing these vital strategies, Polymer engineering and science - SPE has helped the plastics industry thrive for over 60 years. In the process, we've developed a 25,000-member network of leading engineers and other plastics professionals, including technicians, salespeople, marketers, retailers, and representatives from tertiary industries. For more than 30 years, Polymer Engineering & Science has been one of the most highly regarded journals in the field, serving as a forum for authors of treatises on the cutting edge of polymer science and technology. The importance of PE&S is underscored by the frequent rate at which its articles are cited, especially by other publications - literally thousands of times a year. Engineers, researchers, technicians, and academicians worldwide are looking to PE&S for the valuable information they need. There are special issues compiled by distinguished guest editors. These contain proceedings of symposia on such diverse topics as polyblends, mechanics of plastics and polymer welding. Abstracting and Indexing Information Academic ASAP (GALE Cengage) Advanced Technologies & Aerospace Database (ProQuest) Applied Science & Technology Index/Abstracts (EBSCO Publishing) CAS: Chemical Abstracts Service (ACS) CCR Database (Clarivate Analytics) Chemical Abstracts Service/SciFinder (ACS) Chemistry Server Reaction Center (Clarivate Analytics) ChemWeb (ChemIndustry.com) Chimica Database (Elsevier) COMPENDEX (Elsevier) Current Contents: Engineering, Computing & Technology (Clarivate Analytics) Current Contents: Physical, Chemical & Earth Sciences (Clarivate Analytics) Expanded Academic ASAP (GALE Cengage) InfoTrac (GALE Cengage) Journal Citation Reports/Science Edition (Clarivate Analytics) Materials Science & Engineering Database (ProQuest) PASCAL Database (INIST/CNRS) Polymer Library (iSmithers RAPRA) ProQuest Central (ProQuest) ProQuest Central K-462 Reaction Citation Index (Clarivate Analytics) Research Library (ProQuest) Research Library Prep (ProQuest) Science Citation Index (Clarivate Analytics) Science Citation Index Expanded (Clarivate Analytics) SciTech Premium Collection (ProQuest) SCOPUS (Elsevier) STEM Database (ProQuest) Technology Collection (ProQuest) Web of Science (Clarivate Analytics)

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

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.

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.

Australasian Journal of Educational Technology Impact Factor 2024-2025 - ResearchHelpDesk - The Australasian Journal of Educational Technology is the journal of ASCILITE, the Australasian Society for Computers in Learning in Tertiary Education. It aims to promote research and scholarship on the integration of technology in tertiary education, promote effective practice, and inform policy. Please see About-Focus and Scope for a more detailed description of the scope of the journal. AJET is indexed in EDITLib, Thomson Reuters Web of Science, Scopus the ACER Blended Online Learning and Distance Education research bankand EBSCOhost Electronic Journals Service. AJET citation statistics appear within the Thomson Reuters ISI Journal Citation Reports (Social Science Citation Index), the Google Scholar Metrics and the Scopus SCImago journal rankings. Prior to Volume 20, 2004, AJET was published under the title Australian Journal of Educational Technology. AJET has no publication charges.

A comprehensive list of ecology and evolution journals including citations, impact factor, and eigenfactor scores. Data derived from the 2018 Journal Citation Reports bibliometric tools.

Research data to accommodate the article "Overlay journals: a study of the current landscape" (https://doi.org/10.1177/09610006221125208)

Identifying the sample of overlay journals was an explorative process (occurring during April 2021 to February 2022). The sample of investigated overlay journals were identified by using the websites of Episciences.org (2021), Scholastica (2021), Free Journal Network (2021), Open Journals (2021), PubPub (2022), and Wikipedia (2021). In total, this study identified 34 overlay journals. Please see the paper for more details about the excluded journal types.

The journal ISSN numbers, manuscript source repositories, first overlay volumes, article volumes, publication languages, peer-review type, licence for published articles, author costs, publisher types, submission policy, and preprint availability policy were observed by inspecting journal editorial policies and submission guidelines found from journal websites. The overlay journals’ ISSN numbers were identified by examining journal websites and cross-checking this information with the Ulrich’s periodicals database (Ulrichsweb, 2021). Journals that published review reports, either with reviewers’ names or anonymously, were classified as operating with open peer-review. Publisher types defined by Laakso and Björk (2013) were used to categorise the findings concerning the publishers. If the journal website did not include publisher information, the editorial board was interpreted to publish the journal.

The Organisation for Economic Co-operation and Development (OECD) field of science classification was used to categorise the journals into different domains of science. The journals’ primary OECD field of sciences were defined by the authors through examining the journal websites.

Whether the journals were indexed in the Directory of Open Access Journals (DOAJ), Scopus, or Clarivate Analytics’ Web of Science Core collection’s journal master list was examined by searching the services with journal ISSN numbers and journal titles.

The identified overlay journals were examined from the viewpoint of both qualitative and quantitative journal metrics. The qualitative metrics comprised the Nordic expert panel rankings of scientific journals, namely the Finnish Publication Forum, the Danish Bibliometric Research Indicator and the Norwegian Register for Scientific Journals, Series and Publishers. Searches were conducted from the web portals of the above services with both ISSN numbers and journal titles. Clarivate Analytics’ Journal Citation Reports database was searched with the use of both ISSN numbers and journal titles to identify whether the journals had a Journal Citation Indicator (JCI), Two-Year Impact Factor (IF) and an Impact Factor ranking (IF rank). The examined Journal Impact Factors and Impact Factor rankings were for the year 2020 (as released in 2021).

Engineering Journal Impact Factor 2024-2025 - ResearchHelpDesk - Engineering Journal (Eng J) is a open-access, peer-reviewed, and bi-monthly online-published international journal for the complete coverage of all topics in engineering related areas. EJ consists of two major sections in the engineering field. Environment, Energy and Natural Resources (EJEEN) - A rapidly growing sector in engineering research including virtually all aspects of the environment, energy and natural resources fields: from agricultural systems and engineering, aquaculture and aquatic resource management, food engineering and bioprocess technology, pulp and paper technology, regional and rural development planning and urban environmental management, renewable energy such as solar power, to oil exploration technologies, superconductivity, and nuclear generation. Modern Engineering Technology (EJMET) - This section contains topics in the combined domain of engineering, technology and applied science, and focuses on solving technical problems. This section disseminates results from the applications of engineering and modern technology such as information technology, biotechnology, nanotechnology and several technologies fueling the imaginations and research budgets of scientists and engineers. Great research emphasis is placed on chemicals, material, agriculture, healthcare, disaster mitigation, transportation, telecommunications, survey, space, chips, computer hardware, computer software, entertainment and telephony. We accept original, unpublished research papers and review articles which are not being considered elsewhere. Provided that the submitted manuscript meets all our minimum requirements, the turnaround time for the first round of double-blind peer review is approximately 2 - 3 months. EJ ranks in the 2nd Quartile (Cr. Scopus) in the General Engineering subject category, and is currently indexed in: Emerging Sources Citation Index (ESCI) - (ISI) Web of Science Scopus IET Inspec Chemical Abstracts Service (CAS) Asean Citation Index (ACI) Thai-Journal Citation Index (TCI) Directory of Open Access Journals (DOAJ)

Data is part current research around a thesis degree in Spanish intitled "Calidad editorial, impacto científico y visibilidad web de las revistas científicas de universidades peruanas". Incluye general metrics about 22 scientific and scholary journal published by universities and other editorial types indexing at Emerging Sources Citation Index (WoS) updated on June, 2019.

Data (tab-delimited file .txt) and R code (.r file) supporting the study:Mammola S, Martínez A (2020) Let research on subterranean habitats resonate! Subterranean biology.The database lists 21,486 research articles focused on caves and other subterranean habitats published between 1991 and 2019. The yearly Impact factor of journals is based on the periodical reports by the Journal Citation Reports of Clarivate. See for further details see:Martínez A, Mammola S (2020) Specialized terminology limits the reach of new scientific knowledge. BioRxiv. https://doi.org/10.1101/2020.08.20.258996Variable codes:TI = TitleSO = JournalDT = Article typePY = Publication yearcitations = number of citations in Web of ScienceIF = Impact factor of the journal (based on the PY)

Dataset from a study aiming to analyze the coverage of Latin American and Caribbean journals in Google Scholar Metrics (GSM). Data from 8,205 journals from 24 countries of the region were downloaded from Latindex database. A Python script was used for automated title search and data extraction (titles, h5-index, h5-median, URLs) in GSM. For the journals not found, a manual search was carried out, with attempts by variations of the title. It was found 3,070 journals indexed in GSM, which corresponds to 37.42% of the Latindex list. The search was performed on the 2021 edition of GSM, which considers articles published between 2016 and 2020 and citations registered until July 2021. The number of all types of documents published (productivity) in the h5-index period (2016-2020) in Scopus, Journal Citation Reports, and SciELO of 1,314 journals was also identified.

The present dataset is the result of this study, which is under peer-review in a scientific journal.

The dataset comprises titles, h5-index; h5-median, URLs of 3,070 publications from Latin America and the Caribbean identified in Google Scholar Metrics, and the respective editorial information of the publications was extracted from Latindex

The original language of the content was kept, mainly Spanish in the case of editorial data from Latindex. The columns descriptors are also shown in English.

The productivity data refer to the number of all types of documents published by the journals in the period 2016-2020. Data were extracted from the InCities Journal Citation Reports, Scopus, and SciELO Citation Index (Web of Science database).

In this version 2, only the productivity data were changed, covering a larger number of journals (1,314) and including all types of documents. Other data are the same as in the first version (https://doi.org/10.5281/zenodo.5572873).

Introduction

This note describes the data sets used for all analyses contained in the manuscript 'Oxytocin - a social peptide?’[1] that is currently under review.

Data Collection

The data sets described here were originally retrieved from Web of Science (WoS) Core Collection via the University of Edinburgh’s library subscription [2]. The aim of the original study for which these data were gathered was to survey peer-reviewed primary studies on oxytocin and social behaviour. To capture relevant papers, we used the following query:

TI = (“oxytocin” OR “pitocin” OR “syntocinon”) AND TS = (“social*” OR “pro$social” OR “anti$social”)

The final search was performed on the 13 September 2021. This returned a total of 2,747 records, of which 2,049 were classified by WoS as ‘articles’. Given our interest in primary studies only – articles reporting original data – we excluded all other document types. We further excluded all articles sub-classified as ‘book chapters’ or as ‘proceeding papers’ in order to limit our analysis to primary studies published in peer-reviewed academic journals. This reduced the set to 1,977 articles. All of these were published in the English language, and no further language refinements were unnecessary.

All available metadata on these 1,977 articles was exported as plain text ‘flat’ format files in four batches, which we later merged together via Notepad++. Upon manually examination, we discovered examples of papers classified as ‘articles’ by WoS that were, in fact, reviews. To further filter our results, we searched all available PMIDs in PubMed (1,903 had associated PMIDs - ~96% of set). We then filtered results to identify all records classified as ‘review’, ‘systematic review’, or ‘meta-analysis’, identifying 75 records 3. After examining a sample and agreeing with the PubMed classification, these were removed these from our dataset - leaving a total of 1,902 articles.

From these data, we constructed two datasets via parsing out relevant reference data via the Sci2 Tool [4]. First, we constructed a ‘node-attribute-list’ by first linking unique reference strings (‘Cite Me As’ column in WoS data files) to unique identifiers, we then parsed into this dataset information on the identify of a paper, including the title of the article, all authors, journal publication, year of publication, total citations as recorded from WoS, and WoS accession number. Second, we constructed an ‘edge-list’ that records the citations from a citing paper in the ‘Source’ column and identifies the cited paper in the ‘Target’ column, using the unique identifies as described previously to link these data to the node-attribute-list.

We then constructed a network in which papers are nodes, and citation links between nodes are directed edges between nodes. We used Gephi Version 0.9.2 [5] to manually clean these data by merging duplicate references that are caused by different reference formats or by referencing errors. To do this, we needed to retain both all retrieved records (1,902) as well as including all of their references to papers whether these were included in our original search or not. In total, this produced a network of 46,633 nodes (unique reference strings) and 112,520 edges (citation links). Thus, the average reference list size of these articles is ~59 references. The mean indegree (within network citations) is 2.4 (median is 1) for the entire network reflecting a great diversity in referencing choices among our 1,902 articles.

After merging duplicates, we then restricted the network to include only articles fully retrieved (1,902), and retrained only those that were connected together by citations links in a large interconnected network (i.e. the largest component). In total, 1,892 (99.5%) of our initial set were connected together via citation links, meaning a total of ten papers were removed from the following analysis – and these were neither connected to the largest component, nor did they form connections with one another (i.e. these were ‘isolates’).

This left us with a network of 1,892 nodes connected together by 26,019 edges. It is this network that is described by the ‘node-attribute-list’ and ‘edge-list’ provided here. This network has a mean in-degree of 13.76 (median in-degree of 4). By restricting our analysis in this way, we lose 44,741 unique references (96%) and 86,501 citations (77%) from the full network, but retain a set of articles tightly knitted together, all of which have been fully retrieved due to possessing certain terms related to oxytocin AND social behaviour in their title, abstract, or associated keywords.

Before moving on, we calculated indegree for all nodes in this network – this counts the number of citations to a given paper from other papers within this network – and have included this in the node-attribute-list. We further clustered this network via modularity maximisation via the Leiden algorithm [6]. We set the algorithm to resolution 1, and allowed the algorithm to run over 100 iterations and 100 restarts. This gave Q=0.43 and identified seven clusters, which we describe in detail within the body of the paper. We have included cluster membership as an attribute in the node-attribute-list.

Data description

We include here two datasets: (i) ‘OTSOC-node-attribute-list.csv’ consists of the attributes of 1,892 primary articles retrieved from WoS that include terms indicating a focus on oxytocin and social behaviour; (ii) ‘OTSOC-edge-list.csv’ records the citations between these papers. Together, these can be imported into a range of different software for network analysis; however, we have formatted these for ease of upload into Gephi 0.9.2. Below, we detail their contents:

1. ‘OTSOC-node-attribute-list.csv’ is a comma-separate values file that contains all node attributes for the citation network (n=1,892) analysed in the paper. The columns refer to:

Id, the unique identifier

Label, the reference string of the paper to which the attributes in this row correspond. This is taken from the ‘Cite Me As’ column from the original WoS download. The reference string is in the following format: last name of first author, publication year, journal, volume, start page, and DOI (if available).

Wos_id, unique Web of Science (WoS) accession number. These can be used to query WoS to find further data on all papers via the ‘UT= ’ field tag.

Title, paper title.

Authors, all named authors.

Journal, journal of publication.

Pub_year, year of publication.

Wos_citations, total number of citations recorded by WoS Core Collection to a given paper as of 13 September 2021

Indegree, the number of within network citations to a given paper, calculated for the network shown in Figure 1 of the manuscript.

Cluster, provides the cluster membership number as discussed within the manuscript (Figure 1). This was established via modularity maximisation via the Leiden algorithm (Res 1; Q=0.43|7 clusters)

1. ‘OTSOC-edge -list.csv’ is a comma-separate values file that contains all citation links between the 1,892 articles (n=26,019). The columns refer to:

Source, the unique identifier of the citing paper.

Target, the unique identifier of the cited paper.

Type, edges are ‘Directed’, and this column tells Gephi to regard all edges as such.

Syr_date, this contains the date of publication of the citing paper.

Tyr_date, this contains the date of publication of the cited paper.

Software recommended for analysis

Gephi version 0.9.2 was used for the visualisations within the manuscript, and both files can be read and into Gephi without modification.

Notes

[1] Leng, G., Leng, R. I., Ludwig, M. (Submitted). Oxytocin – a social peptide? Deconstructing the evidence.

[2] Edinburgh University’s subscription to Web of Science covers the following databases: (i) Science Citation Index Expanded, 1900-present; (ii) Social Sciences Citation Index, 1900-present; (iii) Arts & Humanities Citation Index, 1975-present; (iv) Conference Proceedings Citation Index- Science, 1990-present; (v) Conference Proceedings Citation Index- Social Science & Humanities, 1990-present; (vi) Book Citation Index– Science, 2005-present; (vii) Book Citation Index– Social Sciences & Humanities, 2005-present; (viii) Emerging Sources Citation Index, 2015-present.

[3] For those interested, the following PMIDs were identified as ‘articles’ by WoS, but as ‘reviews’ by PubMed: ‘34502097’ ‘33400920’ ‘32060678’ ‘31925983’ ‘31734142’ ‘30496762’ ‘30253045’ ‘29660735’ ‘29518698’ ‘29065361’ ‘29048602’ ‘28867943’ ‘28586471’ ‘28301323’ ‘27974283’ ‘27626613’ ‘27603523’ ‘27603327’ ‘27513442’ ‘27273834’ ‘27071789’ ‘26940141’ ‘26932552’ ‘26895254’ ‘26869847’ ‘26788924’ ‘26581735’ ‘26548910’ ‘26317636’ ‘26121678’ ‘26094200’ ‘25997760’ ‘25631363’ ‘25526824’ ‘25446893’ ‘25153535’ ‘25092245’ ‘25086828’ ‘24946432’ ‘24637261’ ‘24588761’ ‘24508579’ ‘24486356’ ‘24462936’ ‘24239932’ ‘24239931’ ‘24231551’ ‘24216134’ ‘23955310’ ‘23856187’ ‘23686025’ ‘23589638’ ‘23575742’ ‘23469841’ ‘23055480’ ‘22981649’ ‘22406388’ ‘22373652’ ‘22141469’ ‘21960250’ ‘21881219’ ‘21802859’ ‘21714746’ ‘21618004’ ‘21150165’ ‘20435805’ ‘20173685’ ‘19840865’ ‘19546570’ ‘19309413’ ‘15288368’ ‘12359512’ ‘9401603’ ‘9213136’ ‘7630585’

[4] Sci2 Team. (2009). Science of Science (Sci2) Tool. Indiana University and SciTech Strategies. Stable URL: https://sci2.cns.iu.edu

[5] Bastian, M., Heymann, S., & Jacomy, M. (2009).

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.

Conservation and Society Impact Factor 2024-2025 - ResearchHelpDesk - Conservation & Society Aim Conservation & Society is a peer-reviewed, interdisciplinary, open-access journal, dedicated to the advancement of the theory and practice of conservation. It aims to serve as a bridge between conservation practitioners from a wide array of disciplines and therefore seeks to disseminate work presented in an integrative and simple manner that is accessible to individuals from disciplines ranging from the natural and social sciences to the humanities. Conservation & Society Scope The journal draws on both natural and social sciences and covers basic and applied research in areas including but not restricted to political ecology, human-wildlife conflicts, decentralised conservation, conservation policy, ecosystem structure and functioning, systematics, community and species ecology, behavioural ecology, landscape ecology, restoration ecology and conservation biology. Readership The journal is of interest to academics, researchers, teachers, naturalists, policy makers, planners, resource managers and media professionals. About the Journal Conservation & Society (www.conservationandsociety.org) is a peer-reviewed interdisciplinary open access journal dedicated to the advancement of the theory and practice of conservation. The journal draws on both natural and social sciences, and covers basic and applied research in areas including but not restricted to political ecology, environmental history, anthropology and sociology, human ecology, conservation policy and governance, human-wildlife conflicts, ecosystem structure and functioning, systematics, community and species ecology, behavioural ecology, landscape ecology, restoration ecology, and conservation biology. The journal publishes submitted and commissioned articles, debates and discussions, editorials, book reviews, comments and notes, and reader feedback. Conservation & Society is of interest to academics, researchers, teachers, naturalists, policymakers, planners, and resource managers. It aims to serve as a bridge between conservation practitioners from a wide array of disciplines and therefore seeks to disseminate work presented in an integrative and simple manner that is accessible to individuals from disciplines ranging from the natural and social sciences to the humanities. The journal accepts articles addressing conservation issues the world over, with a focus on developing countries. Abstracting and Indexing Information The journal is registered with the following abstracting partners: Baidu Scholar, CNKI (China National Knowledge Infrastructure), EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Hinari, Infotrieve, National Science Library, ProQuest, TDNet, Wanfang Data The journal is indexed with, or included in, the following: DOAJ, Indian Science Abstracts, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science SJR Report Year SJR 2012 0.263 2013 0.779 2014 0.986 2015 0.815 2016 0.765 2017 0.811 2018 0.797 2019 0.779 2020 1.040 Cites Year Value Self Cites 2007 0 Self Cites 2008 8 Self Cites 2009 4 Self Cites 2010 14 Self Cites 2011 10 Self Cites 2012 15 Self Cites 2013 18 Self Cites 2014 11 Self Cites 2015 12 Self Cites 2016 6 Self Cites 2017 10 Self Cites 2018 10 Self Cites 2019 9 Self Cites 2020 15 Total Cites 2007 0 Total Cites 2008 20 Total Cites 2009 54 Total Cites 2010 135 Total Cites 2011 77 Total Cites 2012 140 Total Cites 2013 161 Total Cites 2014 184 Total Cites 2015 218 Total Cites 2016 163 Total Cites 2017 193 Total Cites 2018 223 Total Cites 2019 261 Total Cites 2020 324 Cites per document Year Value Cites / Doc. (4 years) 2007 0.000 Cites / Doc. (4 years) 2008 0.741 Cites / Doc. (4 years) 2009 1.000 Cites / Doc. (4 years) 2010 1.646 Cites / Doc. (4 years) 2011 1.613 Cites / Doc. (4 years) 2012 1.584 Cites / Doc. (4 years) 2013 1.880 Cites / Doc. (4 years) 2014 2.475 Cites / Doc. (4 years) 2015 2.214 Cites / Doc. (4 years) 2016 1.896 Cites / Doc. (4 years) 2017 2.235 Cites / Doc. (4 years) 2018 2.061 Cites / Doc. (4 years) 2019 2.234 Cites / Doc. (4 years) 2020 2.946 Cites / Doc. (3 years) 2007 0.000 Cites / Doc. (3 years) 2008 0.741 Cites / Doc. (3 years) 2009 1.000 Cites / Doc. (3 years) 2010 1.646 Cites / Doc. (3 years) 2011 0.917 Cites / Doc. (3 years) 2012 1.628 Cites / Doc. (3 years) 2013 1.809 Cites / Doc. (3 years) 2014 2.067 Cites / Doc. (3 years) 2015 2.247 Cites / Doc. (3 years) 2016 1.583 Cites / Doc. (3 years) 2017 1.804 Cites / Doc. (3 years) 2018 2.027 Cites / Doc. (3 years) 2019 2.231 Cites / Doc. (3 years) 2020 2.817 Cites / Doc. (2 years) 2007 0.000 Cites / Doc. (2 years) 2008 0.741 Cites / Doc. (2 years) 2009 1.000 Cites / Doc. (2 years) 2010 0.764 Cites / Doc. (2 years) 2011 1.018 Cites / Doc. (2 years) 2012 1.586 Cites / Doc. (2 years) 2013 1.750 Cites / Doc. (2 years) 2014 1.850 Cites / Doc. (2 years) 2015 1.636 Cites / Doc. (2 years) 2016 0.959 Cites / Doc. (2 years) 2017 1.714 Cites / Doc. (2 years) 2018 2.000 Cites / Doc. (2 years) 2019 2.131 Cites / Doc. (2 years) 2020 3.120 Year International Collaboration 2007 37.04 2008 29.63 2009 32.14 2010 24.14 2011 37.93 2012 58.06 2013 31.03 2014 37.84 2015 37.84 2016 21.21 2017 37.50 2018 45.45 2019 32.26 2020 44.12

This paper introduces a citation-based method to obtain updated and extended information about news coverage of research. ProQuest was used to search for citations to 9,639 Science and 3,412 Social Science journals from eight UK daily newspapers during 2006-2015. Most Science (95%) and Social Science (94%) journals were never cited by these newspapers. Half of the cited Science journals covered medical or health-related topics, whereas 43% of the Social Sciences journals were related to psychiatry or psychology. There was no general trend for news coverage to increase or decrease over time. A content analysis of the citing news stories found that 94% mentioned journals to report research findings. From these, 60% described research extensively and 53% used more than one source. There were variations in the extent to which newspapers reported good or bad news and most news stories had no comments about the quality of the reported research. Finally, a small number of prestigious British journals were cited particularly often. In conclusion, whilst it is challenging to attract press coverage for non-health research, it is less difficult than previously thought for the social sciences and researchers should be encouraged to promote health-related studies and those in prestigious journals.

Background: Ferroptosis is a novel mechanism of programmed cell death coined in 2012, which has been found to play important roles in human health and disease. In the past decade, ferroptosis research has seen booming growth worldwide. The aim of this study was to visualize the scientific outputs and research trends of ferroptosis in the field of cancer.Methods: The raw data of publications were retrieved from the Web of Science Core Collection on 19 December 2021. The information on the impact factor (IF) and Journal Citation Reports (JCR) division were obtained from the website of Web of Science. Two kinds of software (CiteSpace and VOSviewer) were used to perform visualized analysis.Results: From 2012 to 2021, a total of 1833 publications related to ferroptosis in cancer were identified for final analysis. The annual number of citations and publications grew exponentially over the past decade. China (1,092) and United States (489) had the highest number of publications; Central South University and Guangzhou Medical University were the most productive institutions. Daolin Tang and Scott J Dixon were the most active authors ranked by most productive and co-cited, respectively. The journals with the highest output and co-citation frequency were Biochemical and Biophysical Research Communications and Cell, respectively. Among the 1833 publications, four were identified with citations more than 1000 times. Six co-cited references had a citation burst duration until 2021. Analysis of keywords suggested the current research of ferroptosis in cancer clusters in 9 hotspots and newly emerging frontier may be “multidrug resistance”.Conclusion: Cancer research is the major area of active research in ferroptosis. Our results provide a global landscape of the ferroptosis research in cancer from 2012 to 2021, which serves as a reference for future studies in this field.

The research life cycle of nanotechnology (NT) and its innovation through grey literature in the form of technical reports in Korea. The changes in the numbers of publications of grey literature and white literature in NT show the process of innovation, as technical reports and journal articles contain research results. Numbers of publications of Korean technical reports on National Discovery for Science Leaders (NDSL) and journal articles on Web of Science Science Citation Index Expended (WoS (SCIE)) are compared year by year. In general, the technical reports were produced at an earlier date than journal articles on the Web of Science. Grey literature contains creative ideas and research output, and reflects the early stage of nanotechnology and thus provides a means of tracing innovation in a specific field of science and technology in Korea.

Background: Ferroptosis is a novel mechanism of programmed cell death coined in 2012, which has been found to play important roles in human health and disease. In the past decade, ferroptosis research has seen booming growth worldwide. The aim of this study was to visualize the scientific outputs and research trends of ferroptosis in the field of cancer.Methods: The raw data of publications were retrieved from the Web of Science Core Collection on 19 December 2021. The information on the impact factor (IF) and Journal Citation Reports (JCR) division were obtained from the website of Web of Science. Two kinds of software (CiteSpace and VOSviewer) were used to perform visualized analysis.Results: From 2012 to 2021, a total of 1833 publications related to ferroptosis in cancer were identified for final analysis. The annual number of citations and publications grew exponentially over the past decade. China (1,092) and United States (489) had the highest number of publications; Central South University and Guangzhou Medical University were the most productive institutions. Daolin Tang and Scott J Dixon were the most active authors ranked by most productive and co-cited, respectively. The journals with the highest output and co-citation frequency were Biochemical and Biophysical Research Communications and Cell, respectively. Among the 1833 publications, four were identified with citations more than 1000 times. Six co-cited references had a citation burst duration until 2021. Analysis of keywords suggested the current research of ferroptosis in cancer clusters in 9 hotspots and newly emerging frontier may be “multidrug resistance”.Conclusion: Cancer research is the major area of active research in ferroptosis. Our results provide a global landscape of the ferroptosis research in cancer from 2012 to 2021, which serves as a reference for future studies in this field.