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Radiologia MedicaSCIE

國(guó)際簡(jiǎn)稱：RADIOL MED 參考譯名：醫(yī)學(xué)放射學(xué)

中科院分區(qū)
1區(qū)
CiteScore分區(qū)
Q1
JCR分區(qū)
Q1

基本信息：: ISSN：0033-8362; E-ISSN：1826-6983; 是否OA：未開(kāi)放; 是否預(yù)警：是; TOP期刊：是

出版信息：: 出版地區(qū)：ITALY; 出版商：Springer Milan; 出版語(yǔ)言：Multi-Language; 出版周期：Monthly; 出版年份：2006; 研究方向：醫(yī)學(xué)-核醫(yī)學(xué)

評(píng)價(jià)信息：: 影響因子：9.7; H-index：41; CiteScore指數(shù)：14.1; SJR指數(shù)：1.251; SNIP指數(shù)：1.229

發(fā)文數(shù)據(jù)：: Gold OA文章占比：38.33%; 研究類文章占比：92.81%; 年發(fā)文量：153; 自引率：0.0786...; 開(kāi)源占比：0.2115; 出版撤稿占比：0; 出版國(guó)人文章占比：0.07; OA被引用占比：0.0319...

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英文簡(jiǎn)介期刊介紹 CiteScore數(shù)據(jù) 中科院SCI分區(qū) JCR分區(qū) 發(fā)文數(shù)據(jù) 常見(jiàn)問(wèn)題

英文簡(jiǎn)介Radiologia Medica期刊介紹

La radiologia medica, founded by Felice Perussia in 1914, is a peer-reviewed journal and the official organ of the Italian Society of Medical Radiology (SIRM). The journal is intended as a medium for the communication of results and developments in the field of Radiology, particularly on advances in diagnostic imaging and its allied sciences. The journal welcomes original contributions on both basic and clinical aspects of modern radiology and therapy, including diagnostic radiology and interventional techniques, with special emphasis on modern imaging techniques, radiotherapy, nuclear medicine, radiobiology and health physics. A distinguished Editorial Board and a selection of reports published in the form of original articles, review articles, editorials, short communications and letters to the editor render this publication indispensable for radiologists and related specialists. As of 2014 the journal is published monthly, online only and in English language. The Journal aims at being a forum for the international radiological community, therefore contributions coming from authors working in countries other than Italy are welcome. The journal visibility in the scientific community is further enhanced by its online edition, available at www.springerlink.com.

期刊簡(jiǎn)介Radiologia Medica期刊介紹

《Radiologia Medica》自2006出版以來(lái)，是一本醫(yī)學(xué)優(yōu)秀雜志。致力于發(fā)表原創(chuàng)科學(xué)研究結(jié)果，并為醫(yī)學(xué)各個(gè)領(lǐng)域的原創(chuàng)研究提供一個(gè)展示平臺(tái)，以促進(jìn)醫(yī)學(xué)領(lǐng)域的的進(jìn)步。該刊鼓勵(lì)先進(jìn)的、清晰的闡述，從廣泛的視角提供當(dāng)前感興趣的研究主題的新見(jiàn)解，或?qū)彶槎嗄陙?lái)某個(gè)重要領(lǐng)域的所有重要發(fā)展。該期刊特色在于及時(shí)報(bào)道醫(yī)學(xué)領(lǐng)域的最新進(jìn)展和新發(fā)現(xiàn)新突破等。該刊近一年被列入預(yù)警期刊名單，目前已被權(quán)威數(shù)據(jù)庫(kù)SCIE收錄，得到了廣泛的認(rèn)可。

該期刊投稿重要關(guān)注點(diǎn)：

預(yù)計(jì)審稿時(shí)間：偏慢,4-8周
國(guó)際TOP期刊
醫(yī)學(xué)
RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING
SCIE
中科院1區(qū)
預(yù)警

Cite Score數(shù)據(jù)（2024年最新版）Radiologia Medica Cite Score數(shù)據(jù)

CiteScore：14.1
SJR：1.251
SNIP：1.229

學(xué)科類別	分區(qū)	排名	百分位
大類：Medicine 小類：Radiology, Nuclear Medicine and Imaging	Q1	11 / 333	96%

CiteScore 是由Elsevier(愛(ài)思唯爾)推出的另一種評(píng)價(jià)期刊影響力的文獻(xiàn)計(jì)量指標(biāo)。反映出一家期刊近期發(fā)表論文的年篇均引用次數(shù)。CiteScore以Scopus數(shù)據(jù)庫(kù)中收集的引文為基礎(chǔ)，針對(duì)的是前四年發(fā)表的論文的引文。CiteScore的意義在于，它可以為學(xué)術(shù)界提供一種新的、更全面、更客觀地評(píng)價(jià)期刊影響力的方法，而不僅僅是通過(guò)影響因子(IF)這一單一指標(biāo)來(lái)評(píng)價(jià)。

歷年Cite Score趨勢(shì)圖

中科院SCI分區(qū)Radiologia Medica 中科院分區(qū)

中科院 2023年12月升級(jí)版 綜述期刊：否 Top期刊：是

大類學(xué)科	分區(qū)	小類學(xué)科	分區(qū)
醫(yī)學(xué)	1區(qū)	RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING 核醫(yī)學(xué)	1區(qū)

中科院分區(qū)表 是以客觀數(shù)據(jù)為基礎(chǔ)，運(yùn)用科學(xué)計(jì)量學(xué)方法對(duì)國(guó)際、國(guó)內(nèi)學(xué)術(shù)期刊依據(jù)影響力進(jìn)行等級(jí)劃分的期刊評(píng)價(jià)標(biāo)準(zhǔn)。它為我國(guó)科研、教育機(jī)構(gòu)的管理人員、科研工作者提供了一份評(píng)價(jià)國(guó)際學(xué)術(shù)期刊影響力的參考數(shù)據(jù)，得到了全國(guó)各地高校、科研機(jī)構(gòu)的廣泛認(rèn)可。

中科院分區(qū)表 將所有期刊按照一定指標(biāo)劃分為1區(qū)、2區(qū)、3區(qū)、4區(qū)四個(gè)層次，類似于“優(yōu)、良、及格”等。最開(kāi)始，這個(gè)分區(qū)只是為了方便圖書(shū)管理及圖書(shū)情報(bào)領(lǐng)域的研究和期刊評(píng)估。之后中科院分區(qū)逐步發(fā)展成為了一種評(píng)價(jià)學(xué)術(shù)期刊質(zhì)量的重要工具。

歷年中科院分區(qū)趨勢(shì)圖

JCR分區(qū)Radiologia Medica JCR分區(qū)

2023-2024 年最新版

按JIF指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	4 / 204	98.3%

按JCI指標(biāo)學(xué)科分區(qū)	收錄子集	分區(qū)	排名	百分位
學(xué)科：RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING	SCIE	Q1	7 / 204	96.81%

JCR分區(qū)的優(yōu)勢(shì)在于它可以幫助讀者對(duì)學(xué)術(shù)文獻(xiàn)質(zhì)量進(jìn)行評(píng)估。不同學(xué)科的文章引用量可能存在較大的差異，此時(shí)單獨(dú)依靠影響因子(IF)評(píng)價(jià)期刊的質(zhì)量可能是存在一定問(wèn)題的。因此，JCR將期刊按照學(xué)科門類和影響因子分為不同的分區(qū)，這樣讀者可以根據(jù)自己的研究領(lǐng)域和需求選擇合適的期刊。

歷年影響因子趨勢(shì)圖

發(fā)文數(shù)據(jù)

2023-2024 年國(guó)家/地區(qū)發(fā)文量統(tǒng)計(jì)

國(guó)家/地區(qū)數(shù)量
Italy342
CHINA MAINLAND40
Turkey31
USA22
England18
South Korea13
Iran12
GERMANY (FED REP GER)11
Japan10
Switzerland9

本刊中國(guó)學(xué)者近年發(fā)表論文

1、Shear-wave elastography combined with contrast-enhanced ultrasound algorithm for noninvasive characterization of focal liver lesions
Author: Ruan, Si-min; Huang, Hui; Cheng, Mei-qing; Lin, Man-xia; Hu, Hang-tong; Huang, Yang; Li, Ming-de; Lu, Ming-de; Wang, Wei

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 1, pp. 6-15. DOI: 10.1007/s11547-022-01575-5
2、Development and validation of a 3D-convolutional neural network model based on chest CT for differentiating active pulmonary tuberculosis from community-acquired pneumonia
Author: Han, Dong; Chen, Yibing; Li, Xuechao; Li, Wen; Zhang, Xirong; He, Taiping; Yu, Yong; Dou, Yuequn; Duan, Haifeng; Yu, Nan

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 1, pp. 68-80. DOI: 10.1007/s11547-022-01580-8
3、Assessment of hepatic fat content and prediction of myocardial fibrosis in athletes by using proton density fat fraction sequence
Author: Liu, Tao; Dong, Ping; Zhou, Jin-Rong; Chen, Jing; Luo, Qian-Feng; Long, Shuang; Li, Jia-Li; Chen, Dong; Li, Yuan-Sheng

Journal: RADIOLOGIA MEDICA. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11547-022-01571-9
4、Radiomic and quantitative-semantic models of low-dose computed tomography for predicting the poorly differentiated invasive non-mucinous pulmonary adenocarcinoma
Author: Li, Yong; Liu, Jieke; Yang, Xi; Xu, Fuyang; Wang, Lu; He, Changjiu; Lin, Libo; Qing, Haomiao; Ren, Jing; Zhou, Peng

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 2, pp. 191-202. DOI: 10.1007/s11547-023-01591-z
5、Unambiguous radiologic extranodal extension determined by MRI could be a biomarker in predicting metastatic prostate cancer
Author: Han, Ye; Shen, Fan; Jiao, Jianhua; Xiao, Zunjian; Qin, Weijun; Ren, Jing; Huan, Yi

Journal: RADIOLOGIA MEDICA. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11547-023-01631-8
6、Multi-modal analysis for accurate prediction of preoperative stage and indications of optimal treatment in gastric cancer
Author: Liu, Shangqing; Liang, Weiqi; Huang, Pinyu; Chen, Dianjie; He, Qinglie; Ning, Zhenyuan; Zhang, Yu; Xiong, Wei; Yu, Jiang; Chen, Tao

Journal: RADIOLOGIA MEDICA. 2023; Vol. , Issue , pp. -. DOI: 10.1007/s11547-023-01625-6
7、Systematic review of machine learning-based radiomics approach for predicting microsatellite instability status in colorectal cancer
Author: Wang, Qiang; Xu, Jianhua; Wang, Anrong; Chen, Yi; Wang, Tian; Chen, Danyu; Zhang, Jiaxing; Brismar, Torkel B. B.

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 2, pp. 136-148. DOI: 10.1007/s11547-023-01593-x
8、Multisequence magnetic resonance imaging-based radiomics models for the prediction of microsatellite instability in endometrial cancer
Author: Song, Xiao-Li; Luo, Hong-Jian; Ren, Jia-Liang; Yin, Ping; Liu, Ying; Niu, Jinliang; Hong, Nan

Journal: RADIOLOGIA MEDICA. 2023; Vol. 128, Issue 2, pp. 242-251. DOI: 10.1007/s11547-023-01590-0