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Enregistrement W2421658924 · doi:10.1111/2041-210x.12586

Special feature: 5<sup>th</sup> anniversary of <i>Methods in Ecology and Evolution</i>

2016· article· en· W2421658924 sur OpenAlexaboutno aff
Robert P. Freckleton

Notice bibliographique

RevueMethods in Ecology and Evolution · 2016
Typearticle
Langueen
DomaineEnvironmental Science
ThématiqueSpecies Distribution and Climate Change
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésPublicationEcologyPresentation (obstetrics)MainstreamComputer scienceCitationImpact factorPublishingField (mathematics)Library scienceData scienceWorld Wide WebBiologyPolitical scienceMedicine

Résumé

récupéré en direct d'OpenAlex

Methods in Ecology and Evolution was launched in 2010 with the ambition that we could transform the development and uptake of new methods. As the first journal in our field that specialized in publishing methodology papers, we aspired to give those researchers who develop new methods a place to publish and gain recognition for their work. We also aimed to improve the presentation of methodology to as wide an audience as possible by emphasizing the need for accessibility in published papers, as well as taking advantage of online support such as videos and podcasts. We have now published over 500 papers, together with 90 videos and podcasts as well as over 300 blog posts. Among the published papers, we have had 100 applications papers that describe new computer packages – allowing developers to gain credit for their work through publication and citation. Although an imperfect measure of quality or real impact, by 2015, Methods in Ecology and Evolution had an impact factor of 6·554 and was number 9 in the ISI ranking for ecology. If nothing else, the impact factor shows that we have definitely established ourselves in the mainstream of ecology journals. To celebrate the 5th anniversary of Methods in Ecology and Evolution, we held a symposium in 2015, jointly hosted between London and Calgary. Streamed live, and with talks recorded and hosted here (http://bit.ly/1dG4Bmz), the symposium showcased the range of methods that we had published across our discipline and involved many of our authors and members of our editorial board. A selection of the authors who gave talks at the symposium have contributed articles to this special feature. The first paper in this special feature is, fittingly, by the authors of the first paper published in Methods in Ecology and Evolution in 2010 – indeed the first paper submitted to the journal. In that first paper, Zuur, Ieno & Elphick (2010) provided practical advice on exploratory data analysis, and this has been exceptionally well cited. In their new paper, Zuur & Ieno (2016) focus on regression analysis, providing advice and guidance on performing analysis and reporting results. New methods are important because they often allow us to address novel and important questions that were previously intractable. In a very applied context, Redding et al. (2016) look at the impact of new methodology on the prediction of the emergence of diseases. Similarly, Pettorelli, Owen & Duncan (2016) review the application of remote sensing in conservation and biodiversity research, emphasizing the new opportunities that have been opened up by this technology. Annually, we award a prize (named after Lord May of Oxford) to an early career author of an exceptional paper published in the journal. Iain Stott was the first recipient of this prize (Stott et al. 2010). In his new paper, Iain reviews methods for analysing transient dynamics in population models using perturbation methods. The development of new statistical methods is a significant component of what we regularly publish, and Brewer, Butler & Cooksley (2016) review an important area of modern statistics, namely the use of information criteria. These have been extremely influential in the practice of statistics in ecology during the past decade, and Brewer et al. provide insights into the relative performance of the different indices. The final paper reflects the evolutionary content of the journal. Including two of the journal's Associate Editors, Cooper, Thomas & FitzJohn (2016) review the use of comparative methods in ecological and evolutionary research. They stress the need to bridge the gap between the technical developers of methods and those applying them – nicely rounding off this special feature by really emphasizing one of the key aspirations of the journal. What do we want from the next 5 years? Innovation in publishing will hopefully continue and a huge challenge will be to adapt to the unique publishing challenges for methods papers. For example, how do we review the tools we publish in a rigorous way? Code and software applications are regularly published, and we need to think about how we make the review of these as thorough as possible and also ensure that tools are accessible for as long as possible. This is the subject of ongoing journal development and an area where we hope to lead in terms of setting standards for ecology and evolution. But most of all, we hope to continue to publish a wide range of papers on as diverse a range of topics as possible, exemplified by the diversity of the papers in this feature.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,073
Score d'incertitude au seuil0,997

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0040,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,024
Tête enseignante GPT0,324
Écart entre enseignants0,300 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2016
Routes d'admission1
Résumé présentoui

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