BMC Emergency Medicine

Papers
(The H4-Index of BMC Emergency Medicine is 18. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-03-01 to 2024-03-01.)
ArticleCitations
Impact of the COVID-19 pandemic on emergency department attendances and acute medical admissions57
A retrospective study of sepsis-associated encephalopathy: epidemiology, clinical features and adverse outcomes40
Delayed emergency healthcare seeking behaviour by Dutch emergency department visitors during the first COVID-19 wave: a mixed methods retrospective observational study35
A scoping review of pre-hospital technology to assist ambulance personnel with patient diagnosis or stratification during the emergency assessment of suspected stroke35
The effect of COVID-19 on emergency medical service call volumes and patient acuity: a cross-sectional study in Niagara, Ontario35
A unified machine learning approach to time series forecasting applied to demand at emergency departments26
Impact of the COVID-19 pandemic on incidence and severity of acute appendicitis: a comparison between 2019 and 202026
Major challenges and barriers in clinical decision-making as perceived by emergency medical services personnel: a qualitative content analysis26
Ultrasonography indicators for predicting difficult intubation: a systematic review and meta-analysis25
Lung ultrasound in the emergency department - a valuable tool in the management of patients presenting with respiratory symptoms during the SARS-CoV-2 pandemic22
Why do healthcare professionals fail to escalate as per the early warning system (EWS) protocol? A qualitative evidence synthesis of the barriers and facilitators of escalation22
The utility of the rapid emergency medicine score (REMS) compared with SIRS, qSOFA and NEWS for Predicting in-hospital Mortality among Patients with suspicion of Sepsis in an emergency department22
Management of COVID-19-related challenges faced by EMS personnel: a qualitative study21
Prediction of prognosis in elderly patients with sepsis based on machine learning (random survival forest)21
Shortening door-to-puncture time and improving patient outcome with workflow optimization in patients with acute ischemic stroke associated with large vessel occlusion21
Characteristics of non-conveyed patients in emergency medical services (EMS): a one-year prospective descriptive and comparative study in a region of Sweden20
Association between prehospital prognostic factors on out-of-hospital cardiac arrest in different age groups20
Predictive value of circulating plasma mitochondrial DNA for Sepsis in the emergency department: observational study based on the Sepsis-3 definition18
Characteristic patterns of emergency ambulance assignments for older adults compared with adults requiring emergency care at home in Sweden: a total population study18
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