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Biology subjects

Seppanen, J.-T.

Publications and source records attributed to Seppanen, J.-T..

2 recordsLinked to original sources

Ecological and evolutionary consequences of selective interspecific information use

II.AbstactThe ecology of social information use has been studied in many intra- and interspecific contexts, while the evolutionary consequences of social information use remain less understood. Furthermore, selective social information use, where individuals are discriminative in their decision-making on how to use social information, has been overlooked in interspecific context. In particular, the intentional decision to reject a behavioural trait observed via social information, has gained less attention, although it has recently been shown to occur in various taxa. We develop an individual-based simulation model to explore in which circumstances social information use leads to different coevolutionary outcomes among populations of two species. The initial phenotypes and the balance between costs of competition and benefits of social information use determine whether selection leads to trait divergence, convergence or coevolutionary arms race between two species. Based on existing literature, we propose that selective decisions of individuals, including active rejection, may have far-reaching fitness consequences, potentially leading to similar evolutionary consequences among the populations of the information source and the user as predicted by our model. Overall, we argue that the eco-evolutionary consequences of selective interspecific social information use may be much more prevalent than thus far considered.

evolutionary biology↗

Co-Citation Percentile Rank and JYUcite: a new network-standardized output-level citation influence metric and its implementation using Dimensions API

Judging value of scholarly outputs quantitatively remains a difficult but unavoidable challenge. Most of the proposed solutions suffer from three fundamental shortcomings: they involve i) the concept of journal, in one way or another, ii) calculating arithmetic averages from extremely skewed distributions, and iii) binning data by calendar year. Here, we introduce a new metric Co-citation Percentile Rank (CPR), that relates the current citation rate of the target output taken at resolution of days since first citable, to the distribution of current citation rates of outputs in its co-citation set, as its percentile rank in that set. We explore some of its properties with an example dataset of all scholarly outputs from University of Jyvaskyla spanning multiple years and disciplines. We also demonstrate how CPR can be efficiently implemented with Dimensions database API, and provide a publicly available web resource JYUcite, allowing anyone to retrieve CPR value for any output that has a DOI and is indexed in the Dimensions database. Finally, we discuss how CPR remedies failures of the Relative Citation Ratio (RCR), and remaining issues in situations where CPR too could potentially lead to biased judgement of value.

scientific communication and education↗