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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

Limited evidence of benefits of patient operated intelligent primary care triage tools: findings of a literature review
Kristian Gottliebsen, Göran Petersson
BMJ Health & Care Informatics (2020) Vol. 27, Iss. 1, pp. e100114-e100114
Open Access | Times Cited: 72

Showing 1-25 of 72 citing articles:

The diagnostic and triage accuracy of digital and online symptom checker tools: a systematic review
William Wallace, Calvin Chan, Swathikan Chidambaram, et al.
npj Digital Medicine (2022) Vol. 5, Iss. 1
Open Access | Times Cited: 94
Triage Accuracy of Symptom Checker Apps: 5-Year Follow-up Evaluation
Malte L Schmieding, Marvin Kopka, Konrad Schmidt, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 5, pp. e31810-e31810
Open Access | Times Cited: 77
A scoping review on the use and usefulness of online symptom checkers and triage systems: How to proceed?
Anthony Pairon, Hilde Philips, Véronique Verhoeven
Frontiers in Medicine (2023) Vol. 9
Open Access | Times Cited: 31
Benchmarking Triage Capability of Symptom Checkers Against That of Medical Laypersons: Survey Study
Malte L Schmieding, Rudolf Mörgeli, Maike A L Schmieding, et al.
Journal of Medical Internet Research (2021) Vol. 23, Iss. 3, pp. e24475-e24475
Open Access | Times Cited: 48
Online Symptom Checkers: Recommendations for a Vignette-Based Clinical Evaluation Standard
Annabelle Painter, Benedict Hayhoe, Eva Riboli Sasco, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e37408-e37408
Open Access | Times Cited: 31
Understanding How the Design and Implementation of Online Consultations Affect Primary Care Quality: Systematic Review of Evidence With Recommendations for Designers, Providers, and Researchers
Sarah Darley, Tessa Coulson, Niels Peek, et al.
Journal of Medical Internet Research (2022) Vol. 24, Iss. 10, pp. e37436-e37436
Open Access | Times Cited: 29
Live Like Nobody Is Watching
Anita Ho
Oxford University Press eBooks (2023)
Closed Access | Times Cited: 18
Software symptomcheckR: an R package for analyzing and visualizing symptom checker triage performance
Marvin Kopka, Markus A. Feufel
BMC Digital Health (2024) Vol. 2, Iss. 1
Open Access | Times Cited: 5
Patterns of Online Consultation Use in Great Britain 2019 to 2023: An Observational Analysis
Gabriele Kerr, Geva Greenfield, Alex Bottle, et al.
(2025)
Closed Access
Leveraging of digital triage to enhance access in obstetric emergencies in the maternity units: A scoping review of digital triage interventions in healthcare
Mxolisi Welcome Ngwenya, Livhuwani Muthelo, Melitah Molatelo Rasweswe, et al.
Digital Health (2025) Vol. 11
Open Access
Determinants of Laypersons’ Trust in Medical Decision Aids: Randomized Controlled Trial
Marvin Kopka, Malte L Schmieding, Tobias Rieger, et al.
JMIR Human Factors (2022) Vol. 9, Iss. 2, pp. e35219-e35219
Open Access | Times Cited: 25
Evaluation of Diagnostic and Triage Accuracy and Usability of a Symptom Checker in an Emergency Department: Observational Study
Hamish Fraser, Gregory Cohan, Christopher Koehler, et al.
JMIR mhealth and uhealth (2022) Vol. 10, Iss. 9, pp. e38364-e38364
Open Access | Times Cited: 22
Impacts of Symptom Checkers for Laypersons’ Self-diagnosis on Physicians in Primary Care: Scoping Review
Natalia Radionova, Eylem Ög, Anna-Jasmin Wetzel, et al.
Journal of Medical Internet Research (2023) Vol. 25, pp. e39219-e39219
Open Access | Times Cited: 15
Support Systems of Clinical Decisions in the Triage of the Emergency Department Using Artificial Intelligence: The Efficiency to Support Triage
Eleni Karlafti, Athanasios Anagnostis, Theodora Simou, et al.
Acta medica Lituanica (2023) Vol. 30, Iss. 1, pp. 2-2
Open Access | Times Cited: 12
Towards a Framework for Evaluating the Safety, Acceptability and Efficacy of Ai Systems for Health: An Initial Synthesis
Jessica Morley, Caroline E Morton, Kassandra Karpathakis, et al.
SSRN Electronic Journal (2021)
Open Access | Times Cited: 29
The Triage Capability of Laypersons: Retrospective Exploratory Analysis
Marvin Kopka, Markus A. Feufel, Felix Balzer, et al.
JMIR Formative Research (2022) Vol. 6, Iss. 10, pp. e38977-e38977
Open Access | Times Cited: 20
Supporting primary care through symptom checking artificial intelligence: a study of patient and physician attitudes in Italian general practice
Angelika Mahlknecht, Adolf Engl, Giuliano Piccoliori, et al.
BMC Primary Care (2023) Vol. 24, Iss. 1
Open Access | Times Cited: 12
The Influence of Anthropomorphic Cues on Patients’ Perceived Anthropomorphism, Social Presence, Trust Building, and Acceptance of Health Care Conversational Agents: Within-Subject Web-Based Experiment
Qingchuan Li, Yan Luximon, Jiaxin Zhang
Journal of Medical Internet Research (2023) Vol. 25, pp. e44479-e44479
Open Access | Times Cited: 10
Impact of NHS 111 Online on the NHS 111 telephone service and urgent care system: a mixed-methods study
Janette Turner, Emma Knowles, Rebecca Simpson, et al.
Health Services and Delivery Research (2021) Vol. 9, Iss. 21, pp. 1-148
Open Access | Times Cited: 24
Challenges in evaluating the accuracy of AI-containing digital triage systems: A systematic review
Jonathan Ilicki
PLoS ONE (2022) Vol. 17, Iss. 12, pp. e0279636-e0279636
Open Access | Times Cited: 17
The effects of automation of a patient-centric service in primary care on the work engagement and exhaustion of nurses
Åsa Cajander, Marta Lárusdóttir, Gustaf Hedström
Quality and User Experience (2020) Vol. 5, Iss. 1
Open Access | Times Cited: 25
Health Care Professionals’ Experiences of Web-Based Symptom Checkers for Triage: Cross-sectional Survey Study
Sari Kujala, Iiris Hörhammer
Journal of Medical Internet Research (2022) Vol. 24, Iss. 5, pp. e33505-e33505
Open Access | Times Cited: 14
Clinician Adoption of an Artificial Intelligence Algorithm to Detect Left Ventricular Systolic Dysfunction in Primary Care.
David R. Rushlow, Ivana T. Croghan, Jonathan Inselman, et al.
Mayo Clinic Proceedings (2022) Vol. 97, Iss. 11, pp. 2076-2085
Open Access | Times Cited: 14
Redesigning Primary Care: The Emergence of Artificial-Intelligence-Driven Symptom Diagnostic Tools
Christian J. Wiedermann, Angelika Mahlknecht, Giuliano Piccoliori, et al.
Journal of Personalized Medicine (2023) Vol. 13, Iss. 9, pp. 1379-1379
Open Access | Times Cited: 8
Evaluating the Diagnostic Performance of Symptom Checkers: Clinical Vignette Study
Mohammad Hammoud, Shahd Douglas, Mohamad Darmach, et al.
JMIR AI (2024) Vol. 3, pp. e46875-e46875
Open Access | Times Cited: 2
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