Molecular Ecology (MEC) continues to be one of the largest and most influential journals in the fields of ecology and evolution. In 2022, a total of 434 citable items were published in the journal, ranking third out of 53 journals in Clarivate's list of Evolutionary Biology journals and sixth of 171 Ecology journals. A similar pattern is seen for total citations, where MEC was cited 40,823 times (third in Evolutionary Biology and fourth in Ecology). Additional metrics include journal impact factor (4.9; eighth in Evolutionary Biology) and EigenFactor (0.030, fifth in Evolutionary Biology). The latter metric measures the number of times articles from the journal published in the past five years have been cited in the focal year. Google Scholar's h5-index, which is the h-index for articles published over the past five years, offers a longer term measure of journal influence. Molecular Ecology has an h5-index of 72, which ranks fourth among ecology journals. Lastly, journal downloads demonstrate wide interest in research published in MEC, reaching close to 1.9 million in 2021 and 2022.
| EDITORIAL ANNOUN CEMENTS
| Minimum standards for data and code in ecology and evolution journalsMolecular Ecology was among the first journals in ecology and evolution to require that data supporting the results of published papers be archived in an appropriate public archive (Rieseberg et al., 2010). Over the years, we expanded the policy to include code, programming scripts, and software, as well as detailed metadata. Earlier this year, members of the MEC and Molecular Ecology Resources (MER) Editorial Board (along with editors from other journals) contributed to an article in Ecology and Evolution that established minimum standards for data and code in ecology and evolution journals (Jenkins et al., 2023). While the recommendations largely reinforce what we are already doing, the article provides a description of best practices for archiving of data, metadata, programming scripts, and software, such that analyses published in a given study can be fully replicated. We will be linking the recommendation to our author guidelines. We also will be transitioning to requiring data and code be made available to editors and reviewers during peer review.