Pathogens incorporated in the study were included in the OIE-listed diseases (2015), most of them viruses.PLOS ONE | DOI:10.1371/journal.pone.0149690 March 1,3 /H-Index in Swine DiseasesCalculation of the H-index score of pathogensThe bibliographic software package Institute Scientific information’s Web of Science (WOS) [30] was used to calculate H-index scores, since previous works demonstrated that other bibliographic databases as SCOPUS and Google Scholar [16] or PubMed [14] yielded not identical but highly correlated results. All searches, which were undertaken in March 2015, were restricted to articles Relugolix price published in English between years 1900 and 2015, both inclusive. Due to the existence of multiple names, synonymous and acronyms used for a given infectious agent, or even the use of compilation of lesions to describe the disease caused by a pathogen as a synonymous of the name of the pathogen itself, searches were done using the following terms specified in quotation marks (“”): pathogen complete name, alternative names, acronym/s, common names, their synonymous, and the associated disease/s, not only according to NCBI Taxonomy [31] but also using other sources such as websites described in “Selection and grouping of pathogens”. Particularly for viruses, the International Committee on Taxonomy of Viruses website [32] was also used. Terms “porcine”, “pig” or “swine” where used for each pathogen to delimit the search to the papers related to pigs. The Boolean options “AND” and “OR”, and “NOT” for exclusion terms, were used when necessary to link multiple search terms. As an example, the following phrases were used for one of the most worldwide costly disease in swine industry 1471-2474-14-48 [33]:”Porcine reproductive and respiratory syndrome virus” OR “PRRS” AND “virus” OR “PRRSV” OR “Mystery disease of swine” OR “MDS” OR “Lelystad virus” OR “porcine arterivirus” OR “Swine infertility and respiratory syndrome” OR “SIRS”. Thus, changes in terminology since the virus was firstly described were accounted. In the example, some of these phrases resulted in publications not related to the PRRS virus, i.e. PRRs-pattern recognition receptors. Also, using other phrases or searching for other pathogens, some listed publications could not be related to the given pathogen or to pigs. To correct this bias, papers in the automatically generated lists were curated one by one to ensure database accuracy. Publications related to pork (pig meat), feral swine or j.jebo.2013.04.005 fungi contaminating pig’s feed were not considered. Apart from H-index scores, the total number of citations as well as mean citations per paper included in each H-index core were directly obtained from the WOS output. The quartiles of the journals where papers were published were also investigated [34].Research productivity by continents and countriesNational and continental contribution to the research productivity on swine pathogens was evaluated by determining the location of the first author affiliation of all papers included in each H-index using WOS and PubMed [35]. Three-letter country codes defined and published by the International Organization for Standardization (ISO-3166-1) [36] were used to represent each country.Table 1. Distribution of pathogens. Taxonomic Tenapanor biological activity divisions (number and percentage) of infectious agents used in the study and whether they cause an emerging (less than 20 years from first description in pig) or non-emerging associated diseases, with zoonotic potential or as OIE-listed dise.Pathogens incorporated in the study were included in the OIE-listed diseases (2015), most of them viruses.PLOS ONE | DOI:10.1371/journal.pone.0149690 March 1,3 /H-Index in Swine DiseasesCalculation of the H-index score of pathogensThe bibliographic software package Institute Scientific information’s Web of Science (WOS) [30] was used to calculate H-index scores, since previous works demonstrated that other bibliographic databases as SCOPUS and Google Scholar [16] or PubMed [14] yielded not identical but highly correlated results. All searches, which were undertaken in March 2015, were restricted to articles published in English between years 1900 and 2015, both inclusive. Due to the existence of multiple names, synonymous and acronyms used for a given infectious agent, or even the use of compilation of lesions to describe the disease caused by a pathogen as a synonymous of the name of the pathogen itself, searches were done using the following terms specified in quotation marks (“”): pathogen complete name, alternative names, acronym/s, common names, their synonymous, and the associated disease/s, not only according to NCBI Taxonomy [31] but also using other sources such as websites described in “Selection and grouping of pathogens”. Particularly for viruses, the International Committee on Taxonomy of Viruses website [32] was also used. Terms “porcine”, “pig” or “swine” where used for each pathogen to delimit the search to the papers related to pigs. The Boolean options “AND” and “OR”, and “NOT” for exclusion terms, were used when necessary to link multiple search terms. As an example, the following phrases were used for one of the most worldwide costly disease in swine industry 1471-2474-14-48 [33]:”Porcine reproductive and respiratory syndrome virus” OR “PRRS” AND “virus” OR “PRRSV” OR “Mystery disease of swine” OR “MDS” OR “Lelystad virus” OR “porcine arterivirus” OR “Swine infertility and respiratory syndrome” OR “SIRS”. Thus, changes in terminology since the virus was firstly described were accounted. In the example, some of these phrases resulted in publications not related to the PRRS virus, i.e. PRRs-pattern recognition receptors. Also, using other phrases or searching for other pathogens, some listed publications could not be related to the given pathogen or to pigs. To correct this bias, papers in the automatically generated lists were curated one by one to ensure database accuracy. Publications related to pork (pig meat), feral swine or j.jebo.2013.04.005 fungi contaminating pig’s feed were not considered. Apart from H-index scores, the total number of citations as well as mean citations per paper included in each H-index core were directly obtained from the WOS output. The quartiles of the journals where papers were published were also investigated [34].Research productivity by continents and countriesNational and continental contribution to the research productivity on swine pathogens was evaluated by determining the location of the first author affiliation of all papers included in each H-index using WOS and PubMed [35]. Three-letter country codes defined and published by the International Organization for Standardization (ISO-3166-1) [36] were used to represent each country.Table 1. Distribution of pathogens. Taxonomic divisions (number and percentage) of infectious agents used in the study and whether they cause an emerging (less than 20 years from first description in pig) or non-emerging associated diseases, with zoonotic potential or as OIE-listed dise.