کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
523393 868344 2014 18 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
The skewness of scientific productivity
ترجمه فارسی عنوان
فقدان بهره وری علمی
کلمات کلیدی
توزیع سودآوری دانشمند فردی، رشته علوم الگوریتم همبستگی، همکاری نویسنده
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر نرم افزارهای علوم کامپیوتر
چکیده انگلیسی


• We use a 2003–2011 dataset of 17.2 million authors in 30 scientific fields.
• We study the number of articles and the mean citation per article per person.
• We study the entire population, and the subset with above average productivity.
• Main result: the shape of productivity distributions is very similar across fields.

This paper exploits a unique 2003–2011 large dataset, indexed by Thomson Reuters, consisting of 17.2 million disambiguated authors classified into 30 broad scientific fields, as well as the 48.2 million articles resulting from a multiplying strategy in which any article co-authored by two or more persons is wholly assigned as many times as necessary to each of them. The dataset is characterized by a large proportion of authors who have their oeuvre in several fields. We measure individual productivity in two ways that are uncorrelated: as the number of articles per person and as the mean citation per article per person in the 2003–2011 period. We analyze the shape of the two types of individual productivity distributions in each field using size- and scale-independent indicators. To assess the skewness of productivity distributions we use a robust index of skewness, as well as the Characteristic Scores and Scales approach. For productivity inequality, we use the coefficient of variation. In each field, we study two samples: the entire population, and what we call “successful authors”, namely, the subset of scientists whose productivity is above their field average. The main result is that, in spite of wide differences in production and citation practices across fields, the shape of field productivity distributions is very similar across fields. The parallelism of the results for the population as a whole and for the subset of successful authors, when productivity is measured as mean citation per article per person, reveals the fractal nature of the skewness of scientific productivity in this case. These results are essentially maintained when any article co-authored by two or more persons is fractionally assigned to each of them.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Journal of Informetrics - Volume 8, Issue 4, October 2014, Pages 917–934
نویسندگان
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