Editorial 2025
Bibliographic record
Abstract
Molecular Ecology (MEC) remains one of the most influential journals in evolution and ecology.In 2023, the journal published 389 citable items, placing it fourth among 54 journals in Clarivate's Evolutionary Biology category and 11th out of 195 in Ecology.This trend is mirrored in citation counts, with MEC receiving 38,480 citations-ranking fourth in Evolutionary Biology and eighth in Ecology.Other notable metrics include the five-year journal impact factor (5.4), which positions MEC seventh in Evolutionary Biology, and an EigenFactor score of 0.027, ranking fifth in the same category.The EigenFactor reflects the citation frequency of articles published in the last five years.Additionally, Google Scholar's h5-index, which assesses the impact of articles from the past five years, gives MEC an h5index of 71, placing it fourth among either ecology or evolution journals.While MEC continues to be a hybrid journal, the proportion of citable items that are open access continues to rise, reaching 42% in 2023.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.003 | 0.019 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.003 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.009 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.005 | 0.006 |
| Insufficient payload (model declined to judge) | 0.349 | 0.279 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".