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 dataset was created in the context of the project: " Current trends in scientific research on global warming: A bibliometric analysis (2005-2014)".

Global warming is a topic of increasing public importance, but there have not been published scientometric studies on this topic. The objective of this paper is to contribute to a better understanding of the scientific knowledge in global warming and his effect, as well as to investigate its evolution through the published papers included in Web of Science database. Items under study were collected from Web of Science database from Thomson Reuters. A bibliometric and social network analyses was performed to obtain indicators of scientific productivity, impact and collaboration between researchers, institutions and countries. A subject analysis was also carried out taking into account the key words assigned to papers and subject areas of journals. 1,672 articles were analysed since 2005 until 2014. The most productive journals were Journal of Climate (n=95) and Geophysical Resarch Letters (n=78). The most frequent keywords have been Climate Change (n=722), Model (n=216) and Temperature (n=196). The network of collaboration between countries shows the central position of the United States, together with other leading countries such as United Kingdom, Germany, France and Peoples Republic of China. The research on global warming had grown steadily during the last decade. A vast amount of journals from several subject areas publishes the papers on the topic, including journals of general purpose with high impact factor. Almost all the countries have USA as the main country with which one collaborates. The analysis of key words shows that topics related with climate change, impact, temperature, models and variability are the most important concerns on global warming.

The dataset consist of the following:

1) The list of papers included in the analyses: Papers.xlsx

This file contains 1672 titles, each line representing a paper (including title of the paper, journal ISSN and year of publication).

2) The list of authors: Authors.xlsx

This file contains all 4488 authors, each line representing an author (including full name, total number of papers and year of publication).

3) The list of scientific journals: Journals.xlsx

This file containts all 687 journals, each line representing a journal (including name of the journal, ISSN, total number of papers and year of publication).

4) The list of countries: Country.xlsx

This file contains all 84 countries, each line representing a country (including country name, total number of papers, total number of citations, and number of citations per paper).

5) The list of keywords: Keywords.xlsx

This file contains all 6422 keywords, each line representing a keyword (including keywords, number of papers and year of publication)

Data description

This data note describes the final citation network dataset analysed in the manuscript "What is co-production? Conceptualising and understanding co-production of knowledge and policy across different theoretical perspectives’"[1].

The data collection strategy used to construct the following dataset can be found in the associated manuscript [1]. These data were originally downloaded from the Web of Science (WoS) Core Collection via the library subscription of the University of Edinburgh via a systematic search methodology that sought to capture literature relevant to ‘knowledge co-production’. The dataset consists of 1,893 unique document reference strings (nodes) interlinked together by 9,759 citation links (edges). The network dataset describes a directed citation network composed of papers relevant to 'knowledge co-production', and is split into two files: (i) ‘KnowCo_node_attribute_list.csv’ contains attributes of the 1,893 documents (nodes); and (ii) ‘KnowCo_edge_list.csv’ records the citation links (edges) between pairs of documents.

1. ‘KnowCo_node_attribute_list.csv’ consists of attributes of the 1,893 nodes (documents) of the citation network. Due to the approach used to collect data, there are two types of node: (i) 525 nodes represent documents retrieved from WoS via the systematic search strategy, and these have full attribute data including their reference lists; and (ii) 1,368 documents that were cited >2 times by our 525 fully retrieved papers (see manuscript for full description [1]). The columns refer to:

Id, the unique identifier. Fully retrieved documents are identified via a unique identifier that begins with ‘f’ followed by an integer (e.g. f1, f2, etc.). Non-retrieved documents are identified via a unique identifier beginning with ‘n’ followed by an integer (e.g. n1, n2, etc.).

Label, contains the unique reference string of the document for which the attribute data in that row corresponds. Reference strings contain the last name of the first author, publication year, journal, volume, start page, and DOI (if available).

authors, all author names. These are in the order that these names appear in the authorship list of the corresponding document. These data are only available for fully retrieved documents.

title, document title. These data are only available for fully retrieved documents.

journal, journal of publication. These data are only available for fully retrieved documents. For those interested in journal data for the remaining papers, this can be extracted from the reference string in the ‘Label’ column.

year, year of publication. These data are available for all nodes.

type, document type (e.g. article, review). Available only for fully retrieved documents.

wos_total_citations, total citation count as recorded by Web of Science Core Collection as of May 2020. Available only for fully retrieved documents.

wos_id, Web of Science accession number. Available only for fully retrieved documents only, for non-retrieved documents ‘CitedReference’ fills the cell.

cluster, provides the cluster membership number as discussed within the manuscript, established via modularity maximisation via the Leiden algorithm (Res 0.8; Q=0.53|5 clusters). Available for all nodes.

indegree, total count of within network citations to a given document. Due to the composition of the network, this figure tells us the total number of citations from 525 fully retrieved documents to each of the 1,893 documents within the network. Available for all nodes.

outdegree, total count of within network references from a given document. Due to the composition of the network, only fully retrieved documents can have a value >0 because only these documents have their associated reference list data. Available for all nodes.

1. ‘KnowCo_edge _list.csv’ is an edge list containing 9,759 citation links between the 1,893 documents. The columns refer to:

Source, the citing document’s unique identifier.

Target, the cited document’s unique identifier.

Notes

[1] Bandola-Gill, J., Arthur, M., & Leng, R. I. (Under review). What is co-production? Conceptualising and understanding co-production of knowledge and policy across different theoretical perspectives. Evidence & Policy

Introduction
This document describes the data collection and datasets used in the manuscript "A Matter of Culture? Conceptualising and Investigating ‘Evidence Cultures’ within Research on Evidence-Informed Policymaking" [1].

Data Collection

To construct the citation network analysed in the manuscript, we first designed a series of queries to capture a large sample of literature exploring the relationship between evidence, policy, and culture from various perspectives. Our team of domain experts developed the following queries based on terms common in the literature. These queries search for the terms included in the titles, abstracts, and associated keywords of WoS indexed records (i.e. ‘TS=’). While these are separated below for ease of reading, they combined into a single query via the OR operator in our search. Our search was conducted on the Web of Science’s (WoS) Core Collection through the University of Edinburgh Library subscription on 29/11/2023, returning a total of 2,089 records.

TS = ((“cultures of evidence” OR “culture of evidence” OR “culture of knowledge” OR “cultures of knowledge” OR “research culture” OR “research cultures” OR “culture of research” OR “cultures of research” OR “epistemic culture” OR “epistemic cultures” OR “epistemic community” OR “epistemic communities” OR “epistemic infrastructure” OR “evaluation culture” OR “evaluation cultures” OR “culture of evaluation” OR “cultures of evaluation” OR “thought style” OR “thought styles” OR “thought collective” OR “thought collectives” OR “knowledge regime” OR “knowledge regimes” OR “knowledge system” OR “knowledge systems” OR “civic epistemology” OR “civic epistemologies”) AND (“policy” OR “policies” OR “policymaking” OR “policy making” OR “policymaker” OR “policymakers” OR “policy maker” OR “policy makers” OR “policy decision” OR “policy decisions” OR “political decision” OR “political decisions” OR “political decision making”))

OR

TS = ((“culture” OR “cultures”) AND ((“evidence-based” OR “evidence-informed” OR “evidence-led” OR “science-based” OR “science-informed” OR “science-led” OR “research-based” OR “research-informed” OR “evidence use” OR “evidence user” OR “evidence utilisation” OR “evidence utilization” OR “research use” OR “researcher user” OR “research utilisation” OR “research utilization” OR “research in” OR “evidence in” OR “science in”) NEAR/1 (“policymaking” OR “policy making” OR “policy maker” OR “policy makers”)))

OR

TS = ((“culture” OR “cultures”) AND (“scientific advice” OR “technical advice” OR “scientific expertise” OR “technical expertise” OR “expert advice”) AND (“policy” OR “policies” OR “policymaking” OR “policy making” OR “policymaker” OR “policymakers” OR “policy maker” OR “policy makers” OR “political decision” OR “political decisions” OR “political decision making”))

OR

TS = ((“culture” OR “cultures”) AND (“post-normal science” OR “trans-science” OR “transdisciplinary” OR “transdisiplinarity” OR “science-policy interface” OR “policy sciences” OR “sociology of knowledge” OR “sociology of science” OR “knowledge transfer” OR “knowledge translation” OR “knowledge broker” OR “implementation science” OR “risk society”) AND (“policymaking” OR “policy making” OR “policymaker” OR “policymakers” OR “policy maker” OR “policy makers”))

Citation Network Construction

All bibliographic metadata on these 2,089 records were downloaded in five batches in plain text and then merged in R. We then parsed these data into network readable files. All unique reference strings are given unique node IDs. A node-attribute-list (‘CE_Node’) links identifying information of each document with its node ID, including authors, title, year of publication, journal WoS ID, and WoS citations. An edge-list (‘CE_Edge’) records all citations from these documents to their bibliographies – with edges going from a citing document to the cited – using the relevant node IDs. These data were then cleaned by (a) matching DOIs for reference strings that differ but point to the same paper, and (b) manual merging of obvious duplicates caused by referencing errors.

Our initial dataset consisted of 2,089 retrieved documents and 123,772 unretrieved cited documents (i.e. documents that were cited within the publications we retrieved but which were not one of these 2,089 documents). These documents were connected by 157,229 citation links, but ~87% of the documents in the network were cited just once. To focus on relevant literature, we filtered the network to include only documents with at least three citation or reference links. We further refined the dataset by focusing on the main connected component, resulting in 6,650 nodes and 29,198 edges. It is this dataset that we publish here, and it is this network that underpins Figure 1, Table 1, and the qualitative examination of documents (see manuscript for further details).

Our final network dataset contains 1,819 of the documents in our original query (~87% of the original retrieved records), and 4,831 documents not retrieved via our Web of Science search but cited by at least three of the retrieved documents. We then clustered this network by modularity maximization via the Leiden algorithm [2], detecting 14 clusters with Q=0.59. Citations to documents within the same cluster constitute ~77% of all citations in the network.

Citation Network Dataset Description

We include two network datasets: (i) ‘CE_Node.csv’ that contains 1,819 retrieved documents, 4,831 unretrieved referenced documents, making for a total of 6,650 documents (nodes); (ii)’CE_Edge.csv’ that records citations (edges) between the documents (nodes), including a total of 29,198 citation links. These files can be used to construct a network with many different tools, but we have formatted these to be used in Gephi 0.10[3].

‘CE_Node.csv’ is a comma-separate values file that contains two types of nodes:

i. Retrieved documents – these are documents captured by our query. These include full bibliographic metadata and reference lists.

ii. Non-retrieved documents – these are documents referenced by our retrieved documents but were not retrieved via our query. These only have data contained within their reference string (i.e. first author, journal or book title, year of publication, and possibly DOI).

The columns in the .csv refer to:

- Id, the node ID

- Label, the reference string of the document

- DOI, the DOI for the document, if available

- WOS_ID, WoS accession number

- Authors, named authors

- Title, title of document

- Document_type, variable indicating whether a document is an article, review, etc.

- Journal_book_title, journal of publication or title of book

- Publication year, year of publication.

- WOS_times_cited, total Core Collection citations as of 29/11/2023

- Indegree, number of within network citations to a given document

- Cluster, provides the cluster membership number as discussed in the manuscript (Figure 1)

‘CE_Edge.csv’ is a comma-separated values file that contains edges (citation links) between nodes (documents) (n=29,198). The columns refer to:

- Source, node ID of the citing document

- Target, node ID of the cited document

Cluster Analysis

We qualitatively analyse a set of publications from seven of the largest clusters in our manuscript.

List of selected papers.

The LSC (Leicester Scientific Corpus)

April 2020 by Neslihan Suzen, PhD student at the University of Leicester (ns433@leicester.ac.uk) Supervised by Prof Alexander Gorban and Dr Evgeny MirkesThe data are extracted from the Web of Science [1]. You may not copy or distribute these data in whole or in part without the written consent of Clarivate Analytics.[Version 2] A further cleaning is applied in Data Processing for LSC Abstracts in Version 1*. Details of cleaning procedure are explained in Step 6.* Suzen, Neslihan (2019): LSC (Leicester Scientific Corpus). figshare. Dataset. https://doi.org/10.25392/leicester.data.9449639.v1.Getting StartedThis text provides the information on the LSC (Leicester Scientific Corpus) and pre-processing steps on abstracts, and describes the structure of files to organise the corpus. This corpus is created to be used in future work on the quantification of the meaning of research texts and make it available for use in Natural Language Processing projects.LSC is a collection of abstracts of articles and proceeding papers published in 2014, and indexed by the Web of Science (WoS) database [1]. The corpus contains only documents in English. Each document in the corpus contains the following parts:1. Authors: The list of authors of the paper2. Title: The title of the paper 3. Abstract: The abstract of the paper 4. Categories: One or more category from the list of categories [2]. Full list of categories is presented in file ‘List_of _Categories.txt’. 5. Research Areas: One or more research area from the list of research areas [3]. Full list of research areas is presented in file ‘List_of_Research_Areas.txt’. 6. Total Times cited: The number of times the paper was cited by other items from all databases within Web of Science platform [4] 7. Times cited in Core Collection: The total number of times the paper was cited by other papers within the WoS Core Collection [4]The corpus was collected in July 2018 online and contains the number of citations from publication date to July 2018. We describe a document as the collection of information (about a paper) listed above. The total number of documents in LSC is 1,673,350.Data ProcessingStep 1: Downloading of the Data Online

The dataset is collected manually by exporting documents as Tab-delimitated files online. All documents are available online.Step 2: Importing the Dataset to R

The LSC was collected as TXT files. All documents are extracted to R.Step 3: Cleaning the Data from Documents with Empty Abstract or without CategoryAs our research is based on the analysis of abstracts and categories, all documents with empty abstracts and documents without categories are removed.Step 4: Identification and Correction of Concatenate Words in AbstractsEspecially medicine-related publications use ‘structured abstracts’. Such type of abstracts are divided into sections with distinct headings such as introduction, aim, objective, method, result, conclusion etc. Used tool for extracting abstracts leads concatenate words of section headings with the first word of the section. For instance, we observe words such as ConclusionHigher and ConclusionsRT etc. The detection and identification of such words is done by sampling of medicine-related publications with human intervention. Detected concatenate words are split into two words. For instance, the word ‘ConclusionHigher’ is split into ‘Conclusion’ and ‘Higher’.The section headings in such abstracts are listed below:

Background Method(s) Design Theoretical Measurement(s) Location Aim(s) Methodology Process Abstract Population Approach Objective(s) Purpose(s) Subject(s) Introduction Implication(s) Patient(s) Procedure(s) Hypothesis Measure(s) Setting(s) Limitation(s) Discussion Conclusion(s) Result(s) Finding(s) Material (s) Rationale(s) Implications for health and nursing policyStep 5: Extracting (Sub-setting) the Data Based on Lengths of AbstractsAfter correction, the lengths of abstracts are calculated. ‘Length’ indicates the total number of words in the text, calculated by the same rule as for Microsoft Word ‘word count’ [5].According to APA style manual [6], an abstract should contain between 150 to 250 words. In LSC, we decided to limit length of abstracts from 30 to 500 words in order to study documents with abstracts of typical length ranges and to avoid the effect of the length to the analysis.

Step 6: [Version 2] Cleaning Copyright Notices, Permission polices, Journal Names and Conference Names from LSC Abstracts in Version 1Publications can include a footer of copyright notice, permission policy, journal name, licence, author’s right or conference name below the text of abstract by conferences and journals. Used tool for extracting and processing abstracts in WoS database leads to attached such footers to the text. For example, our casual observation yields that copyright notices such as ‘Published by Elsevier ltd.’ is placed in many texts. To avoid abnormal appearances of words in further analysis of words such as bias in frequency calculation, we performed a cleaning procedure on such sentences and phrases in abstracts of LSC version 1. We removed copyright notices, names of conferences, names of journals, authors’ rights, licenses and permission policies identified by sampling of abstracts.Step 7: [Version 2] Re-extracting (Sub-setting) the Data Based on Lengths of AbstractsThe cleaning procedure described in previous step leaded to some abstracts having less than our minimum length criteria (30 words). 474 texts were removed.Step 8: Saving the Dataset into CSV FormatDocuments are saved into 34 CSV files. In CSV files, the information is organised with one record on each line and parts of abstract, title, list of authors, list of categories, list of research areas, and times cited is recorded in fields.To access the LSC for research purposes, please email to ns433@le.ac.uk.References[1]Web of Science. (15 July). Available: https://apps.webofknowledge.com/ [2]WoS Subject Categories. Available: https://images.webofknowledge.com/WOKRS56B5/help/WOS/hp_subject_category_terms_tasca.html [3]Research Areas in WoS. Available: https://images.webofknowledge.com/images/help/WOS/hp_research_areas_easca.html [4]Times Cited in WoS Core Collection. (15 July). Available: https://support.clarivate.com/ScientificandAcademicResearch/s/article/Web-of-Science-Times-Cited-accessibility-and-variation?language=en_US [5]Word Count. Available: https://support.office.com/en-us/article/show-word-count-3c9e6a11-a04d-43b4-977c-563a0e0d5da3 [6]A. P. Association, Publication manual. American Psychological Association Washington, DC, 1983.

Indian Journal of Community Medicine Abstract & Indexing - ResearchHelpDesk - The Indian Journal of Community Medicine (IJCM), is the official organ & the only official journal of the Indian Association of Preventive and Social Medicine (IAPSM). It is a peer-reviewed journal which is published Quarterly. The journal publishes research articles, focusing on biostatistics, epidemiology, family health care, public health administration, national health problems, medical anthropology, health care delivery and social medicine, invited annotations and comments, invited papers on recent advances, clinical and epidemiological diagnosis and management; editorial correspondence and book reviews. Abstracting and Indexing Information The journal is registered with the following abstracting partners: CNKI (China National Knowledge Infrastructure), Baidu Scholar, EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Infotrieve, Hinari, ProQuest, National Science Library, TdNet, Wanfang Data The journal is indexed with, or included in, the following: Emerging Sources Citation Index, DOAJ, Indian Science Abstracts,MedInd, PubMed Central, IndMed, Scimago Journal Ranking, Web of Science, SCOPUS.

Reference list for publications used for Fig. 1. The data were sourced through literature search in ISI Web of Knowledge and Scopus. (DOC)

Initiated by research into the institutional repositories (IRs) of Indonesian higher education institutions, data was collected using 3 web tools, OpenDOAR - Directory of Open Access Repositories, ROAR - Registry of Open Access Repositories and Webometrics – Ranking Web of Repositories. This dataset is the result of the content analysis of 81 Indonesian higher education institutional repositories. The content analysis is part of a Doctoral research at the Department of Information Studies, School of Media, Culture and Creative Arts, Faculty of Humanities, Curtin University, Western Australia. The research title is "Institutional Repositories and Open Access in Indonesian Higher Education Sector: Case Studies of Three Indonesian Universities" (Ethics Approval: No. RDHU-08-15). The other parts of the research are an Online Survey (Jun-Aug 2015) and in-depth interviews conducted in three Indonesian universities in Nov-Dec 2015. The content analysis that produced this dataset is a longitudinal study conducted between Dec 01, 2016 and Feb 01, 2017. This dataset is originally uploaded to accompany a journal article and contains quantitative results of the content analysis: geographical distribution of the IRs, distribution of the IRs based on the status of the universities (state, private), software of the IRs and their features, degree of openness, number of digital objects in each IR, types of work present in each IR, the use of keywords and subject headings as access points (including the language of the access points), and local practices (author and collection naming). The content analysis was mainly done to the metadata of some sample records from and characteristics of each IR. This dataset includes the dataset from the first study (on a different Excel worksheet). The dataset from the first content analysis study that was conducted between Nov 19, 2014 and Feb 01, 2015 can also be found as a separate dataset at https://doi.org/10.4225/06/565BACB4C3CBA . This dataset has resulted in a publication of a journal article titled "A Different Shade of Green: A Survey of Indonesian Higher Education Institutional Repositories" published in Journal of Librarianship and Scholarly Communication (JLSC) in 2017 (https://doi.org/10.7710/2162-3309.2136 ).

Indian Journal of Pharmacology Abstract & Indexing - ResearchHelpDesk - The Indian Journal of Pharmacology (ISSN 0253-7613) is an official organ of the Indian Pharmacological Society. The first issue of the journal came out in 1969 and it was published Bimonthly. The first issue of the journal came out in 1969 and in 1997 it was published Bimonthly. IJP publishes original research articles, reviews, research letters and correspondences. 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: EMBASE/ Excerpta Medica, Indian Science Abstracts, IndMed, MedInd, MEDLINE/Index Medicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 1.04 Journal Ethics Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc.

Indian Journal of Community Medicine Impact Factor 2024-2025 - ResearchHelpDesk - The Indian Journal of Community Medicine (IJCM), is the official organ & the only official journal of the Indian Association of Preventive and Social Medicine (IAPSM). It is a peer-reviewed journal which is published Quarterly. The journal publishes research articles, focusing on biostatistics, epidemiology, family health care, public health administration, national health problems, medical anthropology, health care delivery and social medicine, invited annotations and comments, invited papers on recent advances, clinical and epidemiological diagnosis and management; editorial correspondence and book reviews. Abstracting and Indexing Information The journal is registered with the following abstracting partners: CNKI (China National Knowledge Infrastructure), Baidu Scholar, EBSCO Publishing's Electronic Databases, Ex Libris – Primo Central, Google Scholar, Infotrieve, Hinari, ProQuest, National Science Library, TdNet, Wanfang Data The journal is indexed with, or included in, the following: Emerging Sources Citation Index, DOAJ, Indian Science Abstracts,MedInd, PubMed Central, IndMed, Scimago Journal Ranking, Web of Science, SCOPUS.

Indian Journal of Pharmacology Impact Factor 2024-2025 - ResearchHelpDesk - The Indian Journal of Pharmacology (ISSN 0253-7613) is an official organ of the Indian Pharmacological Society. The first issue of the journal came out in 1969 and it was published Bimonthly. The first issue of the journal came out in 1969 and in 1997 it was published Bimonthly. IJP publishes original research articles, reviews, research letters and correspondences. 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: EMBASE/ Excerpta Medica, Indian Science Abstracts, IndMed, MedInd, MEDLINE/Index Medicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 1.04 Journal Ethics Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc.

Indian Journal of Ophthalmology Impact Factor 2024-2025 - ResearchHelpDesk - Indian Journal of Ophthalmology a publication of All India Ophthalmological Society, is a peer-reviewed online journal with Monthly print on demand compilation of issues published. The journal’s full text is available online at http://www.ijo.in. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository. 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, EMBASE/ Excerpta Medica, Indian Science Abstracts, IndMed, MEDLINE/Index Medicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 0.977 Journal Ethics Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc.,

Indian Journal of Ophthalmology FAQ - ResearchHelpDesk - Indian Journal of Ophthalmology a publication of All India Ophthalmological Society, is a peer-reviewed online journal with Monthly print on demand compilation of issues published. The journal’s full text is available online at http://www.ijo.in. The journal allows free access (Open Access) to its contents and permits authors to self-archive final accepted version of the articles on any OAI-compliant institutional / subject-based repository. 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, EMBASE/ Excerpta Medica, Indian Science Abstracts, IndMed, MEDLINE/Index Medicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 0.977 Journal Ethics Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc.,

Indian Journal of Pharmacology CiteScore 2024-2025 - ResearchHelpDesk - The Indian Journal of Pharmacology (ISSN 0253-7613) is an official organ of the Indian Pharmacological Society. The first issue of the journal came out in 1969 and it was published Bimonthly. The first issue of the journal came out in 1969 and in 1997 it was published Bimonthly. IJP publishes original research articles, reviews, research letters and correspondences. 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: EMBASE/ Excerpta Medica, Indian Science Abstracts, IndMed, MedInd, MEDLINE/Index Medicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 1.04 Journal Ethics Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc.

Indian Journal of Anaesthesia Abstract & Indexing - ResearchHelpDesk - The Indian Journal of Anaesthesia (ISSN 0019-5049) or IJA, is the official scientific journal of the Indian Society of Anaesthesiologists, which at a membership strength of nearly 20000 is the 2nd largest society of anaesthesiologists in the world. The Indian Journal of Anaesthesia was first published in 1953 by Dr. M.C. Ganguly as its Editor. The IJA which is an indexed, peer reviewed journal, originated as a platform for the scientific expression of the ISA which is the umbrella society to which almost all anesthesiologists in India belong. However it has grown over the years to be international in its scope, also accepting selected articles of merit from contributors all over the world. IJA is published Monthly. The objective is to provide opportunities for free exchange of ideas and information. The society or the editorial board accept no responsibility for any statements published in the journal. These statements are solely attributable to the authors; they are not necessarily indicative of the policies of the society or the editorial board 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, EMBASE/ Excerpta Medica, Emerging Sources Citation Index, Indian Science Abstracts, IndMed, PubMed Central, Scimago Journal Ranking, SCOPUS, Web of Science

Indian Journal of Nephrology Abstract & Indexing - ResearchHelpDesk - The Indian Journal of Nephrology is the official publication of the Indian Society of Nephrology. The journal is published Bimonthly. It is a peer-reviewed, journal that publishes articles covering all the aspects of laboratory and clinical nephrology. It includes original researches, reviews, editorials, technical notes, symposia proceedings, and Society news. The journal provides immediate free access to articles on its website. It does not charge a fee for submission, processing or publication of the manuscripts. 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, EMBASE/ Excerpta Medica, Emerging Sources Citation Index, Indian Science Abstracts, IndMed, MedInd, PubMed Central, Scimago Journal Ranking, SCOPUS, Web of Science

Endoscopic Ultrasound Impact Factor 2024-2025 - ResearchHelpDesk - Endoscopic Ultrasound, a publication of Euro-EUS Scientific Committee, Asia-Pacific EUS Task Force and Latin American Chapter of EUS, is a peer-reviewed online journal with Bimonthly print on demand compilation of issues published. The journal’s full text is available online at http://www.eusjournal.com. The journal allows free access (Open Access) to its contents and permits authors to self-archive the final accepted version of the articles on any OAI-compliant institutional / subject-based repository. The journal does not charge for submission, processing or publication of manuscripts and even for color reproduction of photographs. 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: EMBASE/ Excerpta Medica, Index Copernicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 2.835

Indian Journal of Pharmacology Acceptance Rate - ResearchHelpDesk - The Indian Journal of Pharmacology (ISSN 0253-7613) is an official organ of the Indian Pharmacological Society. The first issue of the journal came out in 1969 and it was published Bimonthly. The first issue of the journal came out in 1969 and in 1997 it was published Bimonthly. IJP publishes original research articles, reviews, research letters and correspondences. 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: EMBASE/ Excerpta Medica, Indian Science Abstracts, IndMed, MedInd, MEDLINE/Index Medicus, PubMed Central, Scimago Journal Ranking, SCOPUS, Science Citation Index Expanded, Web of Science Impact Factor® as reported in the 2018 Journal Citation Reports® (Clarivate Analytics, 2019): 1.04 Journal Ethics Wolters Kluwer and Journal/Association are committed to meeting and upholding standards of ethical behavior at all stages of the publication process. We follow closely the industry associations, such as the Committee on Publication Ethics (COPE), International Committee of Medical Journal Editors (ICMJE) and World Association of Medical Editors (WAME), that set standards and provide guidelines for best practices in order to meet these requirements. For a summary of our specific policies regarding duplicate publication, conflicts of interest, patient consent, etc.

Indian Journal of Nephrology Acceptance Rate - ResearchHelpDesk - The Indian Journal of Nephrology is the official publication of the Indian Society of Nephrology. The journal is published Bimonthly. It is a peer-reviewed, journal that publishes articles covering all the aspects of laboratory and clinical nephrology. It includes original researches, reviews, editorials, technical notes, symposia proceedings, and Society news. The journal provides immediate free access to articles on its website. It does not charge a fee for submission, processing or publication of the manuscripts. 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, EMBASE/ Excerpta Medica, Emerging Sources Citation Index, Indian Science Abstracts, IndMed, MedInd, PubMed Central, Scimago Journal Ranking, SCOPUS, Web of Science