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An indicator to measure disruption has recently been proposed (Funk & Owen-Smith, 2017; Wu, Wang, & Evans, 2019) which has given rise to a large number of variants (Bornmann et al., 2020). In this work we are going to focus on the original indicator DI and the one that seems to have a better performance DI5 (Bornmann and Tekles, 2021; Bittmann et al., 2021) carrying out a large-scale study comparing the scores assigned to each paper. with other bibliometric indicators. The result is that the papers to which the bibliometric indicators assign more value do not obtain better scores. Reviews and short surveys have higher scores than articles and conference papers. Excellent papers have worse scores than non-excellent ones. Works with international collaboration obtain worse values than those without it. Works published in Q1 journals have worse scores than those published in journals of other quartiles. And there is also a small negative correlation with the normalized impact and with the technological impact.

OpenAlex is a free and open index of interconnected entities in the scholarly information ecosystem: papers, authors, journals, institutions, topics, etc. This guide describes its main functionalities and provides examples of querying its API through the openalexR package developed using the R programming language.