Global OA APCs (APC) 2010-2017: Major Trends is a dataset published in 22nd International Conference on Electronic Publishing (2018). On theSindex it has a DataRank of 1.7, placing it in the top 37% of the data-sharing corpus. It has been cited 16 times, with 16 citing works in its 1-hop citation network. Its calibrated FAIR score is 31/100.
<p>The open access (OA) article processing charges (APC) project is a longitudinal study of the minority of fully OA journals (27% in 2016) that have APCs. The global average APC shows little change; in USD, 906 in 2010, 964 in 2016, 974 in 2017. The average masks currency differences and the impact of a growing market; new APC journals often start with an APC of 0. Traditional commercial scholarly publishers are entering the OA market: the largest OA journal publishers’ portfolios in 2017 were Springer, De Gruyter, Elsevier, and Wolters Kluwer Medknow. However, these are a small portion of OA journal publishing which is still marked by a very long tail and extensive involvement by very small, often university or society publishers. APC pricing shows a wide range and variability. The APC market can be described as volatile.</p>
FAIR checklist signals are shown for context only and do not affect DataRank scoring.
Calibrated FAIR score — a parallel quality metric, independent of the DataRank citation score. See the full evaluation →
Base Score Contribution
0.425
From this paper's citation signal
Citation Network Contribution
1.3
From 15 citing papers with measurable signal
Ranked by citation count — the same ordering the engine uses when summing log1p(Cq) over citers.
DataRank blends this paper's own citation count with the influence of the papers that cite it. Here, roughly 25% comes from its base citations and 75% from the citation network (15 citing papers contributed measurable signal).
Citers are pulled from OpenAlex sorted by cited_by_count:descand capped per paper, so when the cap binds we keep the highest-signal references and the score is reproducible across reruns.
Click a node to highlight its connections. Use scroll to zoom. Drag to pan.