| Literature DB >> 23758872 |
Mary M Christopher1, Ana Marusic.
Abstract
BACKGROUND: Bibliographic data can be used to map the research quality and productivity of a discipline. We hypothesized that bibliographic data would identify geographic differences in research capacity, species specialization, and interdisciplinary relationships within the veterinary profession that corresponded with demographic and economic indices.Entities:
Mesh:
Year: 2013 PMID: 23758872 PMCID: PMC3699432 DOI: 10.1186/1746-6148-9-115
Source DB: PubMed Journal: BMC Vet Res ISSN: 1746-6148 Impact factor: 2.741
Veterinary journals indexed by Scopus in 2011, by region of publication*
| No. journals (% of world) | 82 (49.7) | 14 (8.4) | 2 (1.2) | 25 (15.2) | 13 (7.9) | 6 (3.6) | 20 (12.1) | 3 (1.8) | 165 (100) |
| No. open-access (% of world) | 6 (17.6) | 4 (11.8) | 2 (5.9) | 1 (2.9) | 11 (32.4) | 4 (11.8) | 6 (17.6) | 0 (0) | 34 (100) |
| Impact factor, median (range)† | 1.26 (0.03-4.25) | 0.49 (0.17-0.67) | 0.51, 0.52 | 0.94 (0.29-3.32) | 0.31 (0.18-0.61) | 0.29 (0.19-0.48) | 0.32 (0.02-1.21) | 0.95 (0.05-1.16) | 0.92 (0.02-4.25) |
| SJR, median (range) | 0.05 (0.03-0.25) | 0.03 (0.03-0.05) | 0.04 | 0.05 (0.03-0.15) | 0.03 (0.03-04) | 0.03 (0.03) | 0.03 (0.03-0.15) | 0.05 (0.03-0.06) | 0.04 (0.03-0.25) |
| Journal H-index, median (range) | 19 (1-73) | 9 (2-20) | 20 (18, 22) | 21 (1-62) | 6 (2-16) | 3 (1-14) | 6 (1-22) | 27 (10-31) | 14 (1-73) |
| No. articles last 3 years (% of world) | 27,906 (53.3) | 3428 (6.6) | 245 (0.5) | 7375 (14.1) | 4463 (8.5) | 1112 (2.1) | 7147 (13.7) | 646 (1.2) | 52,322 (100) |
| No. citations last 3 years (% of world) | 20,077 (70.4) | 680 (2.4) | 64 (0.2) | 4857 (17.0) | 950 (3.3) | 270 (0.9) | 1379 (4.8) | 236 (0.8) | 28,513 (100) |
| Uncited articles last 3 years (% of articles) | 17,723 (63.5) | 2907 (84.8) | 196 (80.0) | 4970 (67.4) | 3704 (83.0) | 905 (81.4) | 6170 (86.3) | 504 (78.0) | 37,079 (70.8) |
| Self-citations last 3 years, (% of citations)§ | 3739 (18.6) | 146 (21.5) | 12 (18.8) | 912 (18.8) | 226 (23.8) | 119 (44.1) | 141 (10.2) | 35 (14.8) | 5358 (18.8) |
| Citations/article last 2 years, median (range) | 0.52 (0-1.93) | 0.17 (0.08-0.43) | 0.23 (0.17, 0.29) | 0.42 (0-2.04) | 0.08 (0-0.32) | 0.13 (0.07-0.36) | 0.11 (0-0.79) | 0.51 (0-0.57) | 0.28 (0-2.04) |
| Language of publication (No. journals) | English (55), German (7), German-English (5), French (4), French-English (2), English-German-French (1), Spanish (2), Spanish-English (1), Dutch (1), Dutch-English (1), Italian-English (2), Japanese-English (1) | English (11), Hungarian (1), Lithuanian-English (1), Polish-English (1) | English (1), English-Afrikaans (1) | English (25) | Portuguese-English (6), Portuguese-Spanish-English (3), Spanish-English (3), Spanish (1) | English (1), Turkish-English (3), Arabic-English (1), Hebrew-English (1) | English (19), Korean-English (1) | English (3) | English only (115), non-English only (16), mixed (34) |
| Species-specific journals | FA (11), SA (10), EQ (7) | FA (1), SA (1) | — | FA (3), SA (6) | — | — | FA (3), EQ (1) | SA (1) | FA (18), SA (18), EQ (8) |
*Data for number of journals and species-specific journals, SJR and H-index, and articles (total documents) and citations are from Scopus, obtained via SCImago [18]. Regional location of journals was based on the publisher location indicated in Scopus in 2011. The number of open access journals was obtained from the Directory of Open Access Journals [23]. Impact factor data were obtained from Journal Citation Reports [22]. Language of publications was obtained from journal indexers, websites, and guidelines for authors.
†The number of journals in the Scopus database that had 2011 impact factors were as follows: Western Europe (65), Eastern Europe (6), Africa (2), North America (19), Latin America (4), Middle East (4), Asia (7), and Pacific (3).
§Refers to within-journal self-citations.
See Appendix for complete list of species-specific journals. FA Food Animal, SA Small Animals, EQ Equine. Other journals were categorized as Miscellaneous.
Veterinary article and citation data for 193 countries in eight geographic regions during 1996-2010*
| No. countries | 25 | 22 | 46 | 2 | 42 | 20 | 26 | 10 | 193 |
| Country H index, median (range) | 34 (0-83) | 8 (0-32) | 5 (1-37) | 83 (67, 98) | 4 (0-41) | 10 (1-67) | 13 (1-47) | 5 (0-59) | 7 (0-98) |
| No. articles (% of world) | 56,745 (34.8) | 11,046 (6.8) | 5229 (3.2) | 42,568 (26.1) | 13,173 (8.1) | 10,567 (6.5) | 23,922 (14.7) | 6580 (4.0) | 163,250 (100) |
| No. citations (% of world) | 430,298 (40.0) | 37,122 (3.4) | 30,859 (2.8) | 359,000 (33.0) | 52,174 (4.8) | 33,453 (3.0) | 87,608 (8.0) | 57,255 (5.3) | 1,087,769 (100) |
| Uncited articles (% of articles in region) | 13,847 (24.4) | 3069 (27.8) | 1179 (22.5) | 9067 (21.3) | 5016 (38.1) | 4118 (39.0) | 10,366 (43.3) | 975 (14.8) | 47,637 (29.2) |
| Self-citations (% of citations in region)† | 36,270 (8.4) | 2646 (7.1) | 1500 (4.9) | 28,650 (8.0) | 3653 (7.0) | 2331 (7.0) | 10,625 (12.1) | 2774 (4.8) | 88,449 (8.1) |
| Citations/article, median (range) | 8.69 (0.85-12.00) | 3.86 (0.37-5.52) | 7.26 (0.63-9.83) | 9.72 (0.79-13.77) | 7.26 (0.39-9.20) | 4.33 (0.46-7.33) | 5.01 (0.54-6.91) | 9.90 (1.22-14.29) | 7.26 (0.37-14.29) |
| Average % articles with international collaboration | 31.2 | 20.4 | 52.9 | 23.0 | 32.2 | 18.7 | 24.3 | 39.0 | 30.2 |
*Data are from Scopus, obtained via SCImago [18]. Articles are total documents.
†Refers to within-country self-citations.
Article and citation data (1996-2010) for top countries in each region, based on H index*
| Western Europe | 1. UK | 83 | 12,888 | 134,410 | 9.2 | 30.1 | 27.8 | 34.3 | 8.5 | 7.4 | –1.1 |
| 2. France | 65 | 6084 | 47,501 | 7.4 | 24.2 | 36.1 | 32.6 | 3.7 | 3.1 | –0.6 | |
| 3. Netherland | 63 | 4084 | 42,705 | 10.4 | 21.1 | 17.4 | 41.7 | 2.7 | 2.1 | –0.6 | |
| 4. Germany | 57 | 10,024 | 55,387 | 5.5 | 30.2 | 28.5 | 42.2 | 5.2 | 5.0 | –0.2 | |
| 5. Denmark | 57 | 2303 | 27,512 | 12.6 | 22.2 | 11.4 | 44.4 | 1.2 | 1.1 | –0.1 | |
| Eastern Europe | 1. Czech Rep | 32 | 1636 | 9780 | 6.3 | 40.3 | 19.6 | 24.0 | 0.8 | 0.7 | –0.1 |
| 2. Hungary | 31 | 1768 | 7236 | 4.0 | 26.9 | 38.1 | 36.6 | 1.4 | 0.8 | –0.6 | |
| 3. Poland | 30 | 4934 | 12,316 | 2.7 | 51.8 | 35.0 | 11.6 | 2.4 | 3.3 | +0.9 | |
| 4. Slovakia | 23 | 856 | 3657 | 4.2 | 31.4 | 28.4 | 32.0 | 0.6 | 0.3 | –0.3 | |
| 5. Croatia | 19 | 659 | 2071 | 3.7 | 28.2 | 35.7 | 28.3 | 0.4 | 0.4 | 0 | |
| Africa | 1. So. Africa | 37 | 1767 | 11,688 | 6.8 | 30.8 | 18.1 | 36.0 | 1.1 | 0.8 | –0.3 |
| 2. Kenya | 27 | 584 | 4819 | 7.8 | 24.4 | 14.6 | 67.8 | 0.6 | 0.3 | –0.3 | |
| 3. Ethiopia | 23 | 476 | 2702 | 7.4 | 34.2 | 14.3 | 62.4 | 0.2 | 0.4 | +0.2 | |
| 4. Tanzania | 21 | 270 | 2118 | 8.0 | 23.6 | 15.4 | 72.0 | 0.2 | 0.1 | –0.1 | |
| 5. Zimbabwe | 21 | 267 | 2006 | 6.7 | 17.7 | 17.0 | 71.7 | 0.3 | 0.1 | –0.2 | |
| North America | 1. U.S. | 98 | 35,208 | 316,515 | 9.0 | 47.0 | 21.2 | 22.8 | 24.4 | 17.7 | –6.7 |
| 2. Canada | 67 | 6138 | 56,027 | 9.2 | 22.4 | 19.8 | 38.9 | 4.3 | 3.0 | –1.3 | |
| Latin America | 1. Brazil | 41 | 8066 | 27,452 | 5.8 | 49.1 | 26.4 | 25.3 | 1.7 | 8.1 | +6.4 |
| 2. Argentina | 34 | 1204 | 8216 | 7.9 | 22.0 | 20.5 | 44.0 | 0.6 | 0.8 | +0.2 | |
| 3. Mexico | 29 | 1442 | 7090 | 7.5 | 30.5 | 20.8 | 42.2 | 0.5 | 1.3 | +0.8 | |
| 4. Uruguay | 21 | 194 | 1659 | 9.4 | 22.3 | 17.3 | 60.2 | 0.1 | 0.2 | +0.1 | |
| 5. Chile | 20 | 688 | 2617 | 4.1 | 27.8 | 28.2 | 42.4 | 0.5 | 0.4 | –0.1 | |
| Middle East | 1. Israel | 34 | 804 | 7287 | 9.3 | 18.3 | 14.8 | 32.3 | 0.5 | 0.5 | 0 |
| 2. Turkey | 24 | 5954 | 12,661 | 2.6 | 54.5 | 36.1 | 8.1 | 1.0 | 4.8 | +3.8 | |
| 3. Iran | 20 | 1663 | 3559 | 3.7 | 37.6 | 40.1 | 22.3 | 0.3 | 2.0 | +1.7 | |
| 4. Egypt | 23 | 663 | 3131 | 6.3 | 14.6 | 19.6 | 51.0 | 0.3 | 0.6 | +0.3 | |
| 5. UAE | 18 | 198 | 1284 | 6.6 | 17.8 | 15.5 | 55.4 | 0.2 | 0.1 | –0.1 | |
| Asia | 1. Japan | 47 | 5113 | 35,082 | 7.2 | 32.2 | 16.5 | 24.0 | 3.1 | 2.3 | –0.8 |
| 2. China | 34 | 2344 | 12,231 | 9.5 | 37.6 | 13.6 | 40.9 | 0.2 | 3.4 | +3.2 | |
| 3. So. Korea | 32 | 1719 | 7990 | 9.6 | 24.9 | 22.2 | 33.0 | 0.2 | 2.0 | +1.8 | |
| 4. India | 30 | 12,147 | 17,676 | 1.6 | 55.5 | 57.5 | 22.5 | 5.2 | 6.9 | +1.7 | |
| 5. Taiwan | 29 | 623 | 5493 | 10.9 | 23.7 | 11.0 | 22.6 | 0.2 | 0.6 | +0.4 | |
| Pacific | 1. Australia | 59 | 4662 | 42,185 | 9.4 | 24.9 | 13.9 | 39.9 | 3.5 | 2.7 | –0.7 |
| 2. N Zealand | 45 | 1794 | 17,037 | 9.6 | 28.5 | 13.4 | 43.7 | 1.1 | 0.9 | –0.2 |
*Data are from Scopus, obtained via SCImago [18]. Articles are total documents. These countries together account for 84% of veterinary article output.
Figure 1Regional increases in the number of veterinary articles from 1996 to 2010. Data were obtained from SCImago [18].
Regional publication output in veterinary species-specific journals (1996-2010)*
| Western Europe | 8451 | 36.1 | Germany | 5451 | 34.7 | UK | 4716 | 41.2 | UK |
| Eastern Europe | 756 | 3.2 | Poland | 468 | 3.0 | Poland | 281 | 2.5 | Poland |
| Africa | 1492 | 6.4 | Nigeria | 97 | 0.6 | So. Africa | 72 | 0.6 | So. Africa |
| North America | 6645 | 27.6 | US | 7144 | 45.5 | US | 4144 | 36.2 | US |
| Latin America | 1383 | 5.9 | Brazil | 553 | 3.5 | Brazil | 570 | 5.0 | Brazil |
| Middle East | 1380 | 5.9 | Iran | 368 | 2.3 | Turkey | 227 | 2.0 | Turkey |
| Asia | 2581 | 11.1 | India | 853 | 5.4 | Japan | 982 | 8.6 | Japan |
| Pacific | 899 | 3.8 | Australia | 781 | 5.0 | Australia | 462 | 4.0 | Australia |
| World | 23,587 | 100 | US | 15,715 | 100 | US | 11,454 | 100 | US |
*Data are from Scopus, obtained via SCImago [18]. Top country is based on number of articles published.
Figure 2Regional increases in the number of articles published in equine, food animal, small animal, and miscellaneous veterinary journals from 1996 to 2010. Data were obtained from SCImago [18].
Figure 3Percentage of articles in species-specific veterinary journals within each region (A) and within the top 20 countries for species-specific article output (B). Data were obtained from SCImago [18].
Demographic and economic data (2010) by region, for countries that published veterinary articles from 1996 to 2010*
| No. countries | 25 | 22 | 46 | 2 | 42 | 20 | 26 | 2 |
| No. veterinary faculties | 60 | 85 | 29 | 33 | 174 | 55 | 165 | 8 |
| Total population (in millions) | 413.5 | 337.3 | 842.6 | 343.5 | 588.4 | 454.0 | 3798.8 | 26.7 |
| GDP, current US$ (in billions) | 15.9 | 3.1 | 1.1 | 16.0 | 5.2 | 2.8 | 1.1 | 1.3 |
| GNI per capita, current US$ (median) | 42,970 | 7295 | 750 | 45,300 | 6115 | 6570 | 1870 | 37,775 |
| Agriculture, value added, % of GDP (median) | 1.8 | 6.4 | 23.9 | 1.5 | 6.3 | 7.3 | 16.2 | 4.0 |
| R&D, % of GDP (median)§ | 1.8 | 0.7 | 0.2 | 2.4 | 0.4 | 0.6 | 0.2 | 1.8 |
| % Rural population (median) | 22.4 | 37.6 | 61.7 | 18.6 | 33.3 | 28.1 | 63.1 | 12.1 |
| % Urban population (median) | 77.6 | 62.5 | 38.4 | 81.5 | 66.7 | 71.9 | 36.9 | 88.0 |
| Articles per million population (median) | 133.4 | 7.3 | 3.4 | 160.0 | 8.9 | 9.7 | 2.4 | 329.7 |
| Articles per million GDP (median) | 3.4 | 1.7 | 3.3 | 3.4 | 1.2 | 1.0 | 1.1 | 8.9 |
*Data for veterinary faculties were obtained from the American Veterinary Medical Association [25] and the World Veterinary Association [26]. Data for population, gross domestic product (GDP), gross national income (GNI), agriculture value added, research and development (R&D), and % rural and urban populations were obtained from the World Bank [24]. Number of articles was for 1996-2010 from the Scopus database, obtained via SCImago [18].
†Data are for Australia and New Zealand.
§The number of countries for which R&D data were available: Western Europe (19), Eastern Europe (19), Africa (16), North America (2), Latin America (15), Middle East (8), Asia (13), Pacific (2).
Figure 4Principal component analysis (correlation circle) of veterinary article output and demographic and economic variables. The first principal component (horizontal axis) accounts for 39.8% of variation and comprises the highly correlated cluster of gross domestic product (GDP) and the number of articles (total, small animal [SA], equine [EQ], food animal [FA], miscellaneous [Misc]). The second principal component (vertical axis) accounts for 19% of variation and comprises the opposing clusters of agriculture value-added and % rural population (Pop.) versus gross national income (GNI) per capita, research and development (Res & Dev), and % urban Pop. Variables close to the center are less strongly correlated with variables far from the center in the same cluster because some information is carried on other axes. %SA, %EQ, %FA, and %Misc refer to the proportions of articles in species-specific journals. Bibliographic data [18] from 1996–2010 were used in the analysis; demographic and economic data were primarily from 2010 [24].
Figure 5Median number of veterinary faculties (normalized to population) and median article output (1996–2010) per faculty, by region. Only countries with veterinary faculties were included in each region: Western Europe (n = 16), Eastern Europe (n = 21), Africa (n = 14), North America (n = 2), Latin America (n = 22), Middle East (n = 14), Asia (n = 21), and Pacific (n = 2).
Figure 6Frequency of co-citation links between veterinary medicine and other disciplines, by region. (A) Frequency of co-citation links between veterinary journals and journals in other subject areas. (B) Frequency of co-citation links between Miscellaneous veterinary journals and journals in other subject categories. Annual co-citation maps were available for up to 12 years (1998–2010) for 93 countries in Western Europe (n = 19), Eastern Europe (n = 20), Africa (n = 8), North America (n = 2), Latin America (n = 11), Middle East (n = 15), Asia (n = 16), and the Pacific (n = 2).
Changes in subject co-citation links with veterinary journals over time in selected countries*
| United States | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||||
| Switzerland | ABS | ABS | ABS | ABS | ABS | ABS | ||||||
| Austria | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | |||
| Lithuania | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||
| Bulgaria | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||||
| Serbia | – | – | – | – | – | – | – | – | ABS | ABS | ||
| Russian Fed. | ABS | ABS | ABS | ABS | ABS | ABS | ABS | |||||
| Romania | ABS | ABS | ABS | ABS | ABS | ABS | ABS | |||||
| Estonia | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | |||
| UAE | – | – | – | – | ABS | ABS | ABS | ABS | ||||
| Kuwait | ABS | ABS | ABS | ABS | ABS | ABS | ABS | |||||
| Algeria | – | – | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||
| China | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||||
| South Korea | ABS | ABS | ABS | ABS | ABS | ABS | ABS | |||||
| Taiwan | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||||
| Hong Kong | ABS | |||||||||||
| Singapore | ABS | ABS | ABS | ABS | ||||||||
| Thailand | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ||
| Malaysia | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS | ABS |
*Subject area abbreviations are bolded for those years where co-citation links occurred between veterinary medicine and non-agricultural journal disciplines. Only countries with 50 or more veterinary articles between 1998 and 2010 and two or more years of co-citation links with non-agricultural journals are shown. ABS Agricultural & Biological Sciences, MED Medicine, IMM Immunology and Microbiology, BGM Biochemistry, Genetics, & Molecular Biology. Dashes indicate data were not available. Data were obtained from co-citation maps generated for each year and country via SCImago [18].