JMIRx Med

PubMed-indexed overlay journal for preprints with post-review manuscript marketplace (What is JMIRx?).

Editor-in-Chief:

Edward Meinert, MA (Oxon), MSc, MBA, MPA, MPH, PhD, CEng, FBCS, EUR ING, Professor of Digital Health and Clinical Artificial Intelligence, Newcastle University, United Kingdom


JMIRx Med (ISSN 2563-6316), which has been accepted for indexing in PubMed and PubMed Central, is an innovative overlay journal to  MedRxiv and JMIR Preprints (other preprint servers are invited to join). JMIRx peer-reviews preprints and publishes their revised "version of record" with peer-review reports across a broad range of medical, clinical and related health sciences. Unlike the majority of JMIR journals, papers published in this journal do not require a digital health focus - in fact, most papers we published in the first months of the journal were related to COVID19, but we publish all research that qualifies for preprinting on MedRxiv

Conceived to address the urgent need to make highly relevant scientific information available as early as possible without losing the quality of the peer-reviewed process, this innovative new journal is the first in a new series of “superjournals”. Superjournals (a type of "overlay" journal) sit on top of preprint servers (JMIRx-Med serves MedRxiv and JMIR Preprints), offering peer-review and everything else a traditional scholarly journal does. Our goal is to rapidly peer review and publish a paper. All JMIRx Med papers must have originated as a preprint. 

All JMIRx Med papers are rigorously peer-reviewed, copyedited and XML-tagged. Accepted papers are published along with the related Peer Review Reports and Author Responses to Peer Review Reports, providing an additional layer of transparency to the scholarly publishing process. 

There is no Article Processing Fee directly paid by authors for this journal. JMIRx Med is envisioned as a diamond open access and Plan-P compliant journal, which enables Plan P member universities/institutions and funders to subsidize peer review of preprints and publishing in JMIRx Med. Individual PI-led labs, departments and universities can become institutional members, guaranteeing unlimited peer-review of preprints.

If you are not affiliated with a Plan P member organization, we encourage you to provide Plan P membership details to your administrator or sign up for a Principal Investigator (PI) level membership. Further details provided here.

For a limited time only, authors who opt-in during submission to receive PREreview or PeerRef community peer review for their preprint or refer us to their department head/librarian/funder contact will receive a membership-waiver and may publish the preprint in JMIRx Med at no cost to the author. Referral form provided here.

To submit a preprint to JMIRx, authors can self-nominate their existing preprints for publication (which is the equivalent to a traditional journal submission), using the minimalistic JMIRx-Med submission form that essentially only points to the preprint (the preprint needs to be unpublished and should not be under consideration by a journal).

 

Preprints that have already been peer-reviewed by third-party Plan P accredited peer-review services such as PREreview and PeerRef do not require further peer-review (at the editors' discretion). In the submission process, you can nominate your preprint for a PREreview journal club, which can be used in lieu of traditional peer-review.

 

For more details on other submission pathways (including for papers not in MedRxiv) and peer-review options see How to submit to a JMIRx journal.

For more information on JMIRx please also see our Knowledge Base article "What is JMIRx?".  

 

 

Recent Articles

Article Thumbnail
Peer Reviews

This is a peer review report related to "Variance estimation for assessing healthcare providers’ performance using log standardized incidence ratio: Bayesian, Bootstrap and Delta-method"

|
Article Thumbnail
Authors' Responses to Peer-Reviews

This is the author(s)' response to peer review reports related to "Variance estimation for assessing healthcare providers’ performance using log standardized incidence ratio: Bayesian, Bootstrap and Delta-method"

|
Article Thumbnail
#xHealthSystemsandQualityImprovement

In healthcare providers’ performance assessment, standardized incidence ratios (SIRs) are essential tools used to assess whether observed event rates deviate from expected values. Accurate estimation of variance in these ratios is crucial as it affects decision-making regarding providers’ performance. There is little data on how the choice of these variance estimation methods affects decision-making.

|
Article Thumbnail
Peer Reviews

This is a peer review report related to "Effect of and Interventions in Prevention and Management of Maternal Anemia in the Advent of COVID-19 Pandemic A Systematic Review and Meta-Analysis"

|
Article Thumbnail
Reviews

The COVID-19 pandemic presented many unknowns for pregnant women, with anemia potentially worsening pregnancy outcomes due to multiple factors.

|
Article Thumbnail
Peer Reviews

This is a peer review report related to "Effect of and Interventions in Prevention and Management of Maternal Anemia in the Advent of COVID-19 Pandemic A Systematic Review and Meta-Analysis"

|
Article Thumbnail
Peer Reviews

This is a peer review report related to "Effect of and Interventions in Prevention and Management of Maternal Anemia in the Advent of COVID-19 Pandemic: Systematic Review and Meta-Analysis"

|
Article Thumbnail
Authors' Responses to Peer-Reviews

This is the author(s)' response to peer review reports related to "Authors’ Response to Peer Reviews of “Effect of and Interventions in Prevention and Management of Maternal Anemia in the Advent of COVID-19 Pandemic: Systematic Review and Meta-Analysis"

|
Article Thumbnail
Peer Reviews

This is a peer review report related to "Predictive model for real-world performance of COVID-19 antigen tests based on laboratory evaluation"

|
Article Thumbnail
Peer Reviews

This is a peer review report related to "Predictive model for real-world performance of COVID-19 antigen tests based on laboratory evaluation"

|
Article Thumbnail
#xInfectiousDiseases

Rapid and safe deployment of lateral-flow antigen tests, coupled with uncompromised quality assurance, is critical for outbreak control and pandemic preparedness. Yet real-world performance assessment still lacks laboratory and quantitative approaches that remain uncommon in current regulatory science. The approach proposed here can help standardize and accelerate early-phase appraisal of antigen tests for preparedness of clinical validations.

|
Article Thumbnail
Authors' Responses to Peer-Reviews

This is the author(s)' response to peer review reports related to "Predictive model for real-world performance of COVID-19 antigen tests based on laboratory evaluation"

|

We are working in partnership with