Characteristics analysis of high download frequency paper in medical journals：case study of Chongqing Medical Journal
10.3969/j.issn.1673-4254.2014.12.31
- VernacularTitle:医学期刊高下载频次论文特征分析--以《重庆医学》为例
- Author:
Anqin SHU
1
;
Ling ZENG
;
Xue YAO
;
Rui LUO
;
Yun SHI
;
Pu TANG
;
Chuanping XU
;
Xing YAN
Author Information
1. 重庆市卫生信息中心
- Keywords:
download frequency;
cited frequency;
attention;
columns;
science and technology journal
- From:
Journal of Southern Medical University
2014;(12):1849-1851
- CountryChina
- Language:Chinese
-
Abstract:
objective To analyze the characteristics of high download frequency paper of Chongqing Medical Journal. Methods The top 150 high download frequency papers published in Chongqing Medical Journal were collected from CNKI database to analyze the total download frequency, download frequency of single papers, citation frequency, single paper citation frequency, authorship, affiliations, funding, and published columns. Results For the 146 high download frequency papers, the download frequency averaged 2035 times with a citation frequency of 71 103 times, showing a low correlation between download frequency and citation frequency (r=0.250, P=0.250). In the high download frequency papers, the top 3 were published in columns of review (54.1%), original articles (21.9%), and hospital or health management (7.5%). The first authors came mainly from Chongqing Medical University and the affiliated hospitals and Third Military Medical University and its affiliated hospitals. Sixty-one papers(41.78%) had signature of our editors or reviewing experts, 31 (21.23%) had funding support. The average time length from publish to download was (6.35 ± 2.36) years (range 4-8 years). Conclusion There is a correlation between the download frequency and citation frequency among the high download frequency papers of Chongqing Medical Journal; the actual published small columns, but cited frequency is not high necessarily; local medical research resources are still the main source of publication quality manuscripts. The probability of paper with fund support is higher than paper without fund support.
