Antonio M Mendes1, Fernanda S Tonin2, Maiko F Buzzi3, Roberto Pontarolo4, Fernando Fernandez-Llimos5. 1. Pharmaceutical Sciences Postgraduate Programme, Universidade Federal do Paraná, Curitiba, Brazil. Electronic address: mmendesantonio@gmail.com. 2. Pharmaceutical Sciences Postgraduate Programme, Universidade Federal do Paraná, Curitiba, Brazil. Electronic address: stumpf.tonin@ufpr.br. 3. Department of Mathematics, Universidade Tecnológica Federal do Paraná, Curitiba, Brazil. Electronic address: maikobuzzi@hotmail.com. 4. Department of Pharmacy, Universidade Federal do Paraná, Curitiba, Brazil. Electronic address: pontarolo@ufpr.br. 5. Research Institute for Medicines (iMed.ULisboa), Department of Social Pharmacy, Faculty of Pharmacy, Universidade de Lisboa, Lisbon, Portugal. Electronic address: f-llimos@ff.ulisboa.pt.
Abstract
BACKGROUND: Pharmacy journals constitute a heterogeneous group that can be map to identify Pharmacy scientific subareas. OBJECTIVE: This study aimed to objectively map Pharmacy journals by means of a lexicographic analysis of the titles of published articles. METHODS: Active journals between 2006 and 2016 containing any of the terms 'pharmacy', 'pharmacist*', 'pharmaceut*', 'pharmacol*', or 'pharmacotherap*' in their titles were searched in four databases (01/15/2018): Medline, PubMed Central, Science Citation Index expanded/Social Sciences Citation Index expanded (SCIe/SSCIe), and Scopus CiteScore Metrics. The titles of all the articles (Jan-2006 to Dec-2016) in the identified journals were gathered into a single text corpus. The following analyses were performed (Iramuteq 0.7): lexicographic analysis to determine the number, frequency and distribution of active words; descending hierarchical classification (DHC) to categorize active words and journals into lexical classes; factorial correspondence analyses (FCA) to obtain bi- and tri-dimensional graphs. RESULTS: A total of 285 journals comprising 316,089 articles (median 70.4 articles [IQR 34.0-141.0] per journal per year) were included for the analyses. The journals were indexed in Scopus (90.2%) with a median CiteScore of 1.16 (IQR 0.28-2.55); in SCIe/SSCIe (44.6%) with a median impact factor of 2.410 (IQR 1.629-3.316); and in PubMed (65.7%). The DHC of active words produced three major groups (A, B, C) with two lexical classes each, representing six Pharmacy subareas depicted by the FCA as: Group A comprising 'Cell Pharmacology' (20 journals) and 'Molecular Pharmacology' (46 journals), Group B with 'Clinical Pharmacology' (57 journals) and 'Pharmacy Practice' (67 journals), and Group C with 'Pharmaceutics' (35 journals) and 'Pharmaceutical Analysis' (60 journals). Coverage of the classes in bibliographic databases and impact metrics is unbalanced. CONCLUSIONS: Pharmacy journals that can be objectively classified into six different classes that represent different research subareas with uneven coverage in bibliographic databases.
BACKGROUND: Pharmacy journals constitute a heterogeneous group that can be map to identify Pharmacy scientific subareas. OBJECTIVE: This study aimed to objectively map Pharmacy journals by means of a lexicographic analysis of the titles of published articles. METHODS: Active journals between 2006 and 2016 containing any of the terms 'pharmacy', 'pharmacist*', 'pharmaceut*', 'pharmacol*', or 'pharmacotherap*' in their titles were searched in four databases (01/15/2018): Medline, PubMed Central, Science Citation Index expanded/Social Sciences Citation Index expanded (SCIe/SSCIe), and Scopus CiteScore Metrics. The titles of all the articles (Jan-2006 to Dec-2016) in the identified journals were gathered into a single text corpus. The following analyses were performed (Iramuteq 0.7): lexicographic analysis to determine the number, frequency and distribution of active words; descending hierarchical classification (DHC) to categorize active words and journals into lexical classes; factorial correspondence analyses (FCA) to obtain bi- and tri-dimensional graphs. RESULTS: A total of 285 journals comprising 316,089 articles (median 70.4 articles [IQR 34.0-141.0] per journal per year) were included for the analyses. The journals were indexed in Scopus (90.2%) with a median CiteScore of 1.16 (IQR 0.28-2.55); in SCIe/SSCIe (44.6%) with a median impact factor of 2.410 (IQR 1.629-3.316); and in PubMed (65.7%). The DHC of active words produced three major groups (A, B, C) with two lexical classes each, representing six Pharmacy subareas depicted by the FCA as: Group A comprising 'Cell Pharmacology' (20 journals) and 'Molecular Pharmacology' (46 journals), Group B with 'Clinical Pharmacology' (57 journals) and 'Pharmacy Practice' (67 journals), and Group C with 'Pharmaceutics' (35 journals) and 'Pharmaceutical Analysis' (60 journals). Coverage of the classes in bibliographic databases and impact metrics is unbalanced. CONCLUSIONS: Pharmacy journals that can be objectively classified into six different classes that represent different research subareas with uneven coverage in bibliographic databases.
Authors: Shane P Desselle; Michelle L Blakely; Justin Gatwood; Maguy Saffouh El Hajj; Sara McMillan Journal: Explor Res Clin Soc Pharm Date: 2021-02-19