<i>Stroke</i> Journal
Bibliographic record
Abstract
S troke is a monthly peer-reviewed journal that just celebrated its 42nd publication year.Its target audience is broad, including general practitioners, general and vascular neurologists, basic scientists, cardiologists, vascular surgeons, internists, interventional radiologist, neurosurgeons, physiatrists, and stroke rehabilitation experts.Stroke publishes 12 monthly editions per year comprising ≈3500 pages per year, and it is indexed in Biosciences Information Service, Current Awareness in Biological Sciences, Chemical Abstracts, Cumulative Index Nursing and Allied Health Literature, Current Contents, Excerpta Medica database, and MEDLINE.It publishes ≈30 original research articles, 8 brief reports, and 5 other types of articles in each issue, ≈100% of its content related to the field of cerebrovascular diseases.Other neurology journals only publish ≤15% of their content related to cerebrovascular disease.1,2 Peer-reviewed publications are an important component of academic activity, as it constitutes a form of feedback to authors by qualified colleagues with expertise in a specific field and provides readers with up-to-date information.Peerreviewed publications are also used to maintain standards of quality, evaluate academic performance, and are an essential part of the dissemination of research, describing innovative interventions and discoveries in clinical and basic science.3 Stroke is considered the most important peer-reviewed journal in the area of cerebrovascular disorders, ranking number 7 among 66 journals in the Peripheral Vascular Disease category and number 13 among 185 journals in the Clinical Neurology category (2010 Journal Citation Reports Thomson Reuters, 2011). Limited information is available on what is being published in Stroke.A better understanding of common topics and factors influencing the acceptance rate would not only be informative for Stroke readers, but also be helpful for authors when submitting a new article and for editors when making decisions.Our aims were (1) to provide a comprehensive review of most common topics published in Stroke, (2) to compare acceptance rate by different subject categories (eg, ischemic stroke, intracerebral hemorrhage, etc), and (3) to evaluate whether editorial changes in the processing of new articles affected the time to publication. MethodsWe used the Stroke journal database to analyze all submissions from January 2004 to December 2011.As part of the general editorial process, submitted articles are checked in by staff.Once an article passes check in, it is assigned to a handling editor for initial evaluation.If the handling editor decides to send an article for review, he or she selects potential reviewers with appropriate expertise.Staff contacts the potential reviewers until the desired number of reviewers is obtained.When the reviews are returned, the handling editor considers an article on the basis of quality, originality, scientific rigor, and data presentation/analysis of an article along with reviewer comments and the overall priority of an article.The handling editor recommends a decision.Staff prepares a draft with reference to decision letter for the editor in chief or senior consulting editor to approve.When the decision is approved, staff sends the letter to the authors.All noninvited article submissions were considered eligible for the present study, but our evaluation was limited to original contributions (Figure 1).Articles in clinical and basic sciences were included.All new submissions were linked on the basis of article ID to determine the final outcome (eg, accepted, rejected, and resubmit as de novo).A similar approach was used for articles with recommendation of resubmission after minor or major revisions.A de novo rejection usually indicates that the reviewers considered an article to have some merit but substantial deficiencies were also observed.A de novo rejection affords the authors the opportunity to respond to the concerns of the reviewers by including additional data in an article.The status of each article was followed until September 2012.Data elements for the present study included article ID, submission date, request revision date, number of requested and accepted reviewers, reviewer's recommendation, most recent editorial decision, subject codes, key words, article type, decision date,
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.001 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
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".