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This papers builds on previous work in which we try to characterize the diversity of roles researchers play in their work life. Specifically, this paper relates to the type of contributions they conduct when collaborating with other researchers on the production of scientific outputs. For this, we use a dataset which combines contribution statements along with bibliometric data on researchers’ academic age and position in the author order. With this, we explain how age and author order affect the probability of researchers on conducting each of the contribution statements using multinomial-responsive regression modelling. In this paper we focus solely on papers authored by up to 4 researchers. These models are not good for predicting contributorship. Something which as already noted elsewhere. Still, they do show that differences on contributions are not only explained by author order but also by seniority. Next, we plan to continue expanding these analyses to papers conducted by larger teams, as well as to researchers working in areas other than biomedical fields.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 1 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
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