GetPortalImpactFactorByIdResp(projectId=1, id=c0a66112, cover=https://img.medsci.cn/images/journal/cover/2021/tJp_202109271316270450.jpg, fullname=PSYCHOMETRIKA, abbr=PSYCHOMETRIKA, pyear=1936, frequence=Quarterly, articleNumbers=4845, citedSelf2015=9.8, acceptanceRate=null, submissionToAcceptance=null, averageReviewTime=暂无数据, reviewFee=null, pageFee=null, publishedRatio=2022年中国人文章占该期刊总数量11.54% (2019年为4.00%), issn=0033-3123, greenSci=https://www.greensci.net/search?kw=0033-3123, scijournal=https://www.scijournal.org/impact-factor-of-PSYCHOMETRIKA.shtml, medsciHotlightString=null, medsciHotlightRealtime=1.256, medsciHotlight=1.513, medsciHotlight5year=1.58092, citescore=4.4, hIndex=76, impactFactor=3.0, orgnization=Springer New York, orgnizationUrl=http://springerlink.com, country=United States, countryCn=美国, isOa=0, isOaString=否, sciScie=Science Citation Index Expanded|Social Sciences Citation Index|Current Contents - Social &amp; Behavioral Sciences, bigclassCas=医学 3区, smallclassCas=医学 4 区, website=https://link.springer.com/journal/11336, websiteHits=3088, guideForAuthor=null, guideForAuthorHits=1, submitWebsite=https://www.editorialmanager.com/pmet/default.aspx, submitWebsiteHits=1224, content=Psychometrika is devoted to the advancement of theory and methodology for behavioral data in psychology, education and the social and behavioral sciences generally. It has two sections: Theory and Methods (T& M), and Application Reviews and Case Studies (ARCS). T&M articles present original research and, occasionally, insightful reviews, addressing the development of quantitative models, statistical methods, and mathematical techniques for evaluating data from psychology, the social and behavioral sciences, and related fields. ARCS articles provide benchmarks for future applications in any of these areas: Application Reviews can be integrative, drawing together disparate methodologies for applications, or comparative and evaluative, discussing advantages and disadvantages of one or more methodologies in applications. Case Studies highlight methodology that deepens understanding of substantive phenomena through more informative data analysis, and/or more elegant data description., totalCites=14537, brief=PSYCHOMETRIKA杂志数学行业，“<strong><a target="_blank" href="/sci/index.do?smallclass=数学跨学科应用" >数学跨学科应用</a></strong>”子行业的偏低级别杂志, articleType=该刊全部是论著，可能不接收综述类等文章, medsciHeat=<span style="color: #990000;">暗红</span>, medsciComment=PSYCHOMETRIKA杂志级别还可以，但是相对来说，比较冷门，关注人数偏少，有些可能是国内不太熟悉，但该杂志在国际仍然有相当知晓度的。因为缺少中国人投稿，稿源可能未必丰富，发表有可能有很大的机会哦。, medsciExplanation=MedSci期刊指数是根据中国科研工作者（含医学临床，基础，生物，化学等学科）对SCI杂志的认知度，熟悉程度，以及投稿的量等众多指标综合评定而成。当然，具体的，您还可以结合“<a href='//m.capotfarm.com/sci/submit.do?id=c0a66112'>投稿经验系统</a>”，进行综合判断，这更是大家的实战经验，值得分享和参考。<br> 注意，上述MedSci期刊指数采用MedSci专利技术，由计算机系统自动计算，并给出建议，存在不准确的可能，仅供您投稿选择杂志时参考。, tags=null, citeScoreList=[GetImpactFactorCiteScoreListResponse(year=2017, citescore=1.58), GetImpactFactorCiteScoreListResponse(year=2018, citescore=2.65), GetImpactFactorCiteScoreListResponse(year=2019, citescore=4.6), GetImpactFactorCiteScoreListResponse(year=2020, citescore=3.7), GetImpactFactorCiteScoreListResponse(year=2023, citescore=4.4)], medsciIndexList=[GetImpactFactorMedsciIndexListResponse(year=2020, medsciHotlight=1.648), GetImpactFactorMedsciIndexListResponse(year=2021, medsciHotlight=1.239), GetImpactFactorMedsciIndexListResponse(year=2022, medsciHotlight=1.286), GetImpactFactorMedsciIndexListResponse(year=2023, medsciHotlight=1.233), GetImpactFactorMedsciIndexListResponse(year=2024, medsciHotlight=1.256)], citeScoreGradeList=[GetImpactFactorCiteScoreGradeResponse(smallClass=Mathematics - Applied Mathematics , rank=47/460), GetImpactFactorCiteScoreGradeResponse(smallClass=Psychology - General Psychology , rank=39/193)], totalJcrAreaList=[], pmcUrl=https://www.ncbi.nlm.nih.gov/nlmcatalog?term=0033-3123[ISSN], pubmedUrl=https://www.ncbi.nlm.nih.gov/pubmed?cmd=search&term=PSYCHOMETRIKA[ta], article_number=26, article_number_cn=3, earlyWarning=null, linkOutUrl=null, isJournalMember=false, unscrambleContent=null, dayViewCount=false, endexampletyle=暂无数据)