| Literature DB >> 23118973 |
Yan Zhang1, Jia Kou, Xue-Guang Zhang, Li Zhang, Shu-Wen Liu, Xue-Ying Cao, Yuan-Da Wang, Ri-Bao Wei, Guang-Yan Cai, Xiang-Mei Chen.
Abstract
BACKGROUND: Internal medicine includes several subspecialties. This study aimed to describe change trend of impact factors in different subspecialties of internal medicine during the past 12 years, as well as the developmental differences among each subspecialty, and the possible influencing factors behind these changes and differences.Entities:
Mesh:
Year: 2012 PMID: 23118973 PMCID: PMC3485187 DOI: 10.1371/journal.pone.0048290
Source DB: PubMed Journal: PLoS One ISSN: 1932-6203 Impact factor: 3.240
Figure 1Dynamic change of median impact factors between 1998 and 2010.
Figure 2Comparison of constituent ratio of journal impact factors in nine subspecialties.
Comparison of constituent ratio of journal impact factors less than 2 from 1998 to 2010.
| AL | ID | RP | CV | GE | HM | RM | NP | EC | ||||||||||
| IF | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 | <2 | ≥2 |
| 1998 | 11 | 2 | 16 | 13 | 12 | 7 | 42 | 22 | 22 | 10 | 24 | 16 | 8 | 6 | 14 | 6 | 42 | 32 |
| 1999 | 11 | 2 | 15 | 14 | 12 | 7 | 47 | 25 | 24 | 12 | 24 | 19 | 10 | 15 | 13 | 7 | 43 | 35 |
| 2000 | 11 | 3 | 16 | 16 | 13 | 7 | 47 | 29 | 26 | 12 | 23 | 21 | 10 | 8 | 14 | 8 | 42 | 41 |
| 2001 | 9 | 5 | 16 | 17 | 12 | 8 | 56 | 29 | 24 | 16 | 25 | 21 | 12 | 7 | 13 | 9 | 42 | 41 |
| 2002 | 11 | 3 | 22 | 13 | 12 | 10 | 55 | 31 | 25 | 16 | 24 | 26 | 11 | 9 | 12 | 10 | 42 | 44 |
| 2003 | 9 | 4 | 22 | 14 | 15 | 9 | 54 | 34 | 24 | 17 | 26 | 24 | 11 | 9 | 15 | 9 | 37 | 39 |
| 2004 | 8 | 5 | 16 | 21 | 16 | 10 | 53 | 36 | 25 | 16 | 23 | 29 | 13 | 9 | 17 | 9 | 39 | 48 |
| 2005 | 7 | 6 | 15 | 24 | 15 | 11 | 47 | 44 | 23 | 19 | 20 | 29 | 11 | 11 | 16 | 11 | 35 | 53 |
| 2006 | 6 | 7 | 13 | 28 | 12 | 14 | 46 | 51 | 17 | 25 | 20 | 34 | 10 | 12 | 16 | 12 | 32 | 57 |
| 2007 | 5 | 8 | 16 | 25 | 13 | 14 | 46 | 49 | 17 | 27 | 18 | 33 | 8 | 12 | 19 | 10 | 27 | 61 |
| 2008 | 5 | 8 | 11 | 30 | 14 | 15 | 63 | 62 | 14 | 33 | 12 | 40 | 9 | 12 | 18 | 11 | 23 | 70 |
| 2009 | 11 | 10 | 19 | 36 | 15 | 20 | 61 | 64 | 24 | 32 | 19 | 38 | 8 | 14 | 20 | 15 | 31 | 73 |
| 2010 | 9 | 11 | 13 | 40 | 16 | 21 | 66 | 82 | 22 | 38 | 15 | 43 | 11 | 15 | 23 | 15 | 32 | 80 |
| P | 0.07 | 0.03 | 0.717 | 0.003 | 0.001 | 0.001 | 0.827 | 0.388 | 0.000 | |||||||||
AL = Allergy; ID = Infectious disease; RP = Respiratory system disease; CV = Cardiac and cardiovascular system disease; GE = Gastroenterology and hepatology; HM = Hematology; RM = Rheumatology; NP = nephrology; EC = Endocrinology and metabolism.
Figure 3Analysis of the average median impact factors in each subspecialty from 1998 to 2010.
AL = Allergy; ID = Infectious disease; RP = Respiratory system disease; CV = Cardiac and cardiovascular system disease; GE = Gastroenterology and hepatology; HM = Hematology; RM = Rheumatology; NP = nephrology; EC = Endocrinology and metabolism.
Comparisons of journal impact factors at main points of the distribution in 2010.
| Variable | NO. | Min | P2.5 | P25 | Median | P75 | P97.5 | Max | Interquartile range |
| AL | 20 | 0.143 | 0.143 | 0.766 | 2.291 | 3.434 | 9.273 | 9.273 | 2.668 |
| ID | 53 | 0.265 | 0.294 | 1.986 | 2.631 | 3.781 | 13.359 | 16.144 | 1.795 |
| RP | 37 | 0.037 | 0.037 | 1.424 | 2.250 | 3.008 | 10.191 | 10.191 | 1.584 |
| CV | 148 | 0.000 | 0.120 | 1.235 | 2.167 | 3.505 | 9.653 | 14.429 | 2.27 |
| GE | 59 | 0.311 | 0.123 | 1.550 | 2.410 | 3.840 | 11.459 | 12.032 | 2.290 |
| HM | 58 | 0.033 | 0.388 | 1.575 | 2.812 | 4.642 | 12.590 | 14.429 | 3.067 |
| RM | 26 | 0.043 | 0.043 | 1.077 | 2.527 | 4.218 | 9.082 | 9.082 | 3.141 |
| NP | 38 | 0.023 | 0.023 | 1.154 | 1.631 | 2.975 | 8.288 | 8.288 | 1.821 |
| EC | 112 | 0.052 | 0.211 | 1.844 | 2.586 | 4.407 | 13.70 | 22.469 | 2.568 |
AL = Allergy; ID = Infectious disease; RP = Respiratory system disease; CV = Cardiac and cardiovascular system disease; GE = Gastroenterology and hepatology; HM = Hematology; RM = Rheumatology; NP = nephrology; EC = Endocrinology and metabolism.
Figure 4Correlation analysis of highest impact factor and journal number (a) and total number of papers in each field (b).