ISSN: 0210-573X

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Impact factor

The Impact Factor measures the average number of citations received in a particular year by papers published in the journal during the two preceding years.

© Clarivate Analytics, Journal Citation Reports 2022

Impact factor 2023

0.1

Citescore

CiteScore measures average citations received per document published.

Citescore 2023

0.2

SJR

SRJ is a prestige metric based on the idea that not all citations are the same. SJR uses a similar algorithm as the Google page rank; it provides a quantitative and qualitative measure of the journal's impact.

SJR 2023

0.116

SNIP

SNIP measures contextual citation impact by wighting citations based on the total number of citations in a subject field.

SNIP 2023

0.088

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Original Article

Non-elective caesarean section risk assessment using Machine Learning techniques

Evaluación del riesgo de cesárea no electiva mediante técnicas de Machine Learning

L. López-Mendizábala,

Corresponding author

laura.lopezmendizabal@estudiante.uam.es

Corresponding author.

, C. Vareaa, A. Berlangab, M.A. Patriciob, J.M. Molinab, J.L. Barthac

a Department of Biology, Faculty of Sciences, Madrid Autonomous University, Madrid, Spain

b Computer Science and Engineering Department, Madrid Carlos III University, Colmenarejo, Madrid, Spain

c Department of Obstetrics and Gynecology, University Hospital La Paz, Madrid, Spain

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Article information

ISSN: 0210573X
Original language: English

DOI:10.1016/j.gine.2024.100949

The statistics are updated each day

Year/Month	Html	Pdf	Total

2024 December	5	6	11
2024 November	9	9	18
2024 October	12	11	23
2024 September	11	13	24
2024 August	10	8	18
2024 July	11	7	18
2024 June	11	11	22
2024 May	9	5	14
2024 April	7	5	12
2024 March	10	10	20
2024 February	3	3	6

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Clínica e Investigación en Ginecología y Obstetricia

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