Is your EPL attractive? Classification of publications through download statistics

TL;DR

This study analyzes download patterns of EPL publications, revealing rapid initial interest followed by slower engagement, and classifies papers based on their download dynamics, including open-access and non-open-access distinctions.

Contribution

It introduces a model to predict download behavior and classifies papers by attractiveness and recognition patterns, providing insights into publication impact.

Findings

Most papers have rapid download accumulation initially.

A small percentage show intense download bursts.

Open-access papers generally have higher downloads.

Abstract

Here we consider the download statistics of EPL publications. We find that papers in the journal are characterised by fast accumulations of downloads during the first couple of months after publication, followed by slower rates thereafter, behaviour which can be represented by a model with predictive power. We also find that individual papers can be classified in various ways, allowing us to compare categories for open-access and non-open-access papers. For example, for the latter publications, which comprise the bulk of EPL papers, a small proportion (2%) display intense bursts of download activity, possibly following an extended period of less remarkable behaviour. About 18% have an especially high degree of attractiveness over and above what is typical for the journal. One can also classify the ageing of attractiveness by examining download half-lives. Approximately 18% have strong interest initially, waning in time. A further 20% exhibit "delayed recognition" with relatively late spurs in download activity. Although open-access papers enjoy more downloads on average, the proportions falling into each category are similar.