F1000对医学期刊被引情况的影响

目的:研究F1000在医学领域对文献被引用情况的影响。方法: 检索F1000数据库, 将2006-2008年第4年被F1000推荐的文献作为研究对象，在相同时间段选择发表后即可被推荐和从未被推荐的文献作为第一对照组和第二对照组，检索Web of Science，获得三组文献在发表后第1-6年的被引数量，研究三组文献在6年内的被引趋势；将所得数据重新组合为发表后前3年、后3年和总被引次数，利用SPSS 11.0软件对各组数据做配对t检验。结果：研究文献在发表后的第4年达到被引用峰值，而第一和第二对照组均在第3年达到被引用峰值；配对t检验显示，研究组文献与第一对照组和第二对照组之间被引用次数在发表后前3年未见显著差异，而在后3年存在显著差异，总被引次数也表现出显著差异。结论：F1000在医学领域对人们的引证行为产生了显著影响。

Impact of F1000 on cited papers in medical journals

Objective To study the impact of F000 on cited papers in medical journals. Methods Papers in the 4 years after they were published from 2006 to 2008 that were recommended by F1000 served as No.1 control group, papers in the 4 years after they were published from 2006 to 2008 that were not recommended by F1000 served as No.2 control group, Web of Science-covered papers in the 1-6 years after they were published from 2006 to 2008 served as group 3. The cited papers in group 3 were calculated. The total cited papers in the first 3 years and the second 3 years after they were published were analyzed with SPSS 11.0 and identified by paired t test. Results The number of cited papers reached its peak in the 4th year after they were published. The number of cited papers reached its peak in the third year after they were published in No.1 and No.2 control groups. Paired t test showed no significant difference in the number of cited papers in group 3 from that in No.1 and No.2 control groups. However, the number of cited papers and that of total cited paers in group 3 were significantly different from those in No.1 and No.2 control groups. Conclusion F1000 can significantly influence the citation behaviors in medical journals.