Here we provide a selection of academic journal templates for articles and papers which automatically format your manuscripts in the style required for submission to that journal. Thanks to the partnerships we're building within the publishing community, you can also now submit your paper directly to a number of journals and other editorial and review services via the publish menu in the editor.
Template for writing scientific manuscripts. Features several examples of how to embed figures directly into the text. Use it to create compiled PDFs - e.g. for pre-peer review publication on the arXiv, bioRxiv, or to a repository such as figshare.
To submit your manuscript to the arXiv, bioRxiv, figshare or one of many other destinations linked to from Overleaf, simply click the 'Journals & Services' button on the top bar of the Overleaf editor and choose the appropriate destination from the menu. You can also use the 'Download as zip - for submission' option in the Project menu to download a zip file containing all the required files for the submission (e.g. including the .bbl file if you've used a bibliography file for your references).
Interacting with Computers is the interdisciplinary journal of Human-Computer Interaction. Topics covered include: HCI and design theory; new research paradigms; interaction process and methodology; user interface, usability and UX design; development tools and techniques; empirical evaluations and assessment strategies; new and emerging technologies; ubiquitous, ambient and mobile interaction; accessibility, user modelling and intelligent systems; organisational and societal issues.
Interacting with Computers publishes accessible interdisciplinary research papers and leading-edge thematic special issues. The journal is an official publication of BCS, The Chartered Institute for IT, and the interaction Specialist Group.
For more information about the journal, see http://iwc.oxfordjournals.org/
This is a basic journal article template which includes metadata fields for multiple authors, affiliations and keywords.
It is also set up to use the lineno package for line numbers; these can be turned on by adding the 'lineno' option to the documentclass command.
We revisit the results of the recent Reproducibility Project: Psychology by the Open Science Collaboration. We compute Bayes factors—a quantity that can be used to express comparative evidence for an hypothesis but also for the null hypothesis—for a large subset (N = 72) of the original papers and their corresponding replication attempts. In our computation, we take into account the likely scenario that publication bias had distorted the originally published results. Overall, 75% of studies gave qualitatively similar results in terms of the amount of evidence provided. However, the evidence was often weak (i.e., Bayes factor < 10). The majority of the studies (64%) did not provide strong evidence for either the null or the alternative hypothesis in either the original or the replication, and no replication attempts provided strong evidence in favor of the null. In all cases where the original paper provided strong evidence but the replication did not (15%), the sample size in the replication was smaller than the original. Where the replication provided strong evidence but the original did not (10%), the replication sample size was larger. We conclude that the apparent failure of the Reproducibility Project to replicate many target effects can be adequately explained by overestimation of effect sizes (or overestimation of evidence against the null hypothesis) due to small sample sizes and publication bias in the psychological literature. We further conclude that traditional sample sizes are insufficient and that a more widespread adoption of Bayesian methods is desirable.
This is the TeX template for articles submitted to Pisika.
The authblk package is contained in the preprint bundle.
Other packages needed are: amsmath, bm, booktabs, caption, dcolumn, fancyhdr, geometry, graphicx, hyperref, latexsym, natbib
The pisikabst.bst file is modified from the LPPL distributed apsrev.bst by PW Daly.