本文選題：高被引論文 + 論文層面計(jì)量��； 參考：《武漢大學(xué)》2017年碩士論文

【摘要】：由于傳統(tǒng)文獻(xiàn)計(jì)量指標(biāo)的片面性與延時(shí)性,引文數(shù)量等指標(biāo)越來(lái)越難以評(píng)價(jià)論文的綜合影響力,Altmetrics應(yīng)運(yùn)而生。Altmetrics指標(biāo)常用于論文層面的計(jì)量,目前有許多工具可以幫助研究者獲取文獻(xiàn)的各種Altmetrics指標(biāo),研究者能夠通過(guò)其Altmetrics指標(biāo)來(lái)觀測(cè)社交媒體等平臺(tái)對(duì)該文獻(xiàn)的使用情況。高被引論文是被引頻次以及熱度較高的論文,具有較高的學(xué)術(shù)影響力,目前沒(méi)有完備的評(píng)價(jià)體系對(duì)高被引論文的影響力進(jìn)行綜合評(píng)價(jià),高被引論文Altmetrics指標(biāo)的具體情況及這些指標(biāo)反映出的社會(huì)影響力也不得而知。針對(duì)以上情況,為了探索高被引論文的綜合評(píng)價(jià)體系,明確高被引論文的Altmetrics指標(biāo)情況及社會(huì)影響力,為合理評(píng)價(jià)科研成果提供思考與建議。本文以"社會(huì)科學(xué)、綜合"領(lǐng)域中的top papers為研究對(duì)象,通過(guò)ESI數(shù)據(jù)庫(kù)、Altmetric.com獲取"社會(huì)科學(xué)、綜合"領(lǐng)域文獻(xiàn)的文章詳情、被引頻次、Altmetrics指標(biāo)等數(shù)據(jù)。本文首先根據(jù)學(xué)者影響力模型構(gòu)建高被引論文的影響力評(píng)價(jià)模型,對(duì)高被引論文構(gòu)建影響力指標(biāo)體系并將Altmetrics指標(biāo)進(jìn)行分層。隨后,對(duì)這些文獻(xiàn)的Altmetrics指標(biāo)進(jìn)行特征分析與可用性分析,發(fā)現(xiàn)Altmetrics得分能綜合反映高被引論文的社會(huì)影響力,Altmetrics得分主要跟推薦、引用、討論三類指標(biāo)中的典型指標(biāo)新聞提及數(shù)、博客提及數(shù)、推文提及數(shù)相關(guān),而從統(tǒng)計(jì)分析結(jié)果及可用性指標(biāo)來(lái)看,政策提及數(shù)、Facebook提及數(shù)、維基百科引用數(shù)、Google+提及數(shù)、Mendeley中的閱讀數(shù)量同樣值得關(guān)注。然后對(duì)高被引論文的被引頻次與Altmetrics指標(biāo)對(duì)比分析,發(fā)現(xiàn)高被引論文的被引頻次與Altmetrics得分等指標(biāo)相關(guān)性不明顯,還發(fā)現(xiàn)在學(xué)術(shù)上得到更多關(guān)注的是關(guān)于理論、研究方法的經(jīng)典文獻(xiàn),發(fā)表時(shí)間較新、與生活問(wèn)題相關(guān)的論文會(huì)在社交媒體受到更多關(guān)注。另外Mendeley中的閱讀數(shù)量能夠一定程度上反映高被引論文的學(xué)術(shù)影響力�？偟膩�(lái)說(shuō),由于高被引論文學(xué)術(shù)影響力與社會(huì)影響力的差異較大,傳統(tǒng)文獻(xiàn)計(jì)量指標(biāo)不能綜合反映高被引文獻(xiàn)的影響力,其影響力應(yīng)該由被引頻次、Altmetrics指標(biāo)來(lái)綜合評(píng)價(jià);其社會(huì)影響力可以由Altmetrics得分這個(gè)綜合指標(biāo)來(lái)反映,這個(gè)指標(biāo)主要受新聞提及數(shù)、博客提及數(shù)、推文提及數(shù)這三個(gè)指標(biāo)的影響,這說(shuō)明這三個(gè)指標(biāo)對(duì)高被引論文的社會(huì)影響力評(píng)價(jià)有重要參考價(jià)值。另外,除了被引頻次,Mendeley中的閱讀數(shù)量也能反映高被引論文的學(xué)術(shù)影響力。基于以上結(jié)論,本文明確了高被引論文學(xué)術(shù)影響力與社會(huì)影響力的聯(lián)系以及區(qū)別,為高被引論文的影響力評(píng)價(jià)提供了新的思路,為全面反映高被引論文的綜合影響力評(píng)價(jià)方式提供了可行的策略,也為科研成果的影響力評(píng)價(jià)提供了清晰的方向。
[Abstract]:Because of the one-sidedness and delay of the traditional literature measurement index, it is more and more difficult to evaluate the comprehensive influence of the paper, such as the number of citations. Altmetrics is often used to measure the paper level. At present, there are many tools to help researchers to obtain a variety of Altmetrics indicators of the literature, researchers can use its Altmetrics index to observe the use of social media and other platforms to the use of the literature. High cited papers are papers with high frequency of citation and high heat, which have higher academic influence. At present, there is no complete evaluation system for comprehensive evaluation of the influence of high cited papers. The specific situation of the Altmetrics indicators and the social impact of these indicators are also unknown. In view of the above situation, in order to explore the comprehensive evaluation system of high cited papers, clarify the Altmetrics index and social influence of high cited papers, and provide some thoughts and suggestions for the rational evaluation of scientific research results. This paper takes top papers in the field of "Social Science, Synthesis" as the research object, obtains the article details of the "Social Science, Synthesis" literature through the ESI database "Altmetric.com", and the cited frequency and other data such as Altmetrics index. Firstly, according to the influence model of scholars, the influence evaluation model of high citation paper is constructed, and the influence index system is constructed and the Altmetrics index is stratified. Then, the characteristic analysis and usability analysis of the Altmetrics index of these documents are carried out. It is found that the Altmetrics score can comprehensively reflect the social influence of the highly cited paper and the social impact metrics score is mainly followed by recommendation, citation, and discusses the number of news references of typical indicators in the three types of indicators. Blog references, tweet references are relevant, and from statistical analysis and usability indicators, policy references count Facebook references, and Wikipedia quotes and Google references to Mendeley are also of concern. Then, by comparing the cited frequency of high cited paper with Altmetrics index, we find that the correlation between cited frequency of high cited paper and Altmetrics score is not obvious, and it is also found that more academic attention is paid to the theory. The classic literature on research methods, published at a relatively new time, will attract more attention on social media. In addition, the amount of reading in Mendeley can reflect the academic influence of high cited papers to some extent. In general, because of the great difference between the academic influence and the social influence of the high cited papers, the traditional bibliometric index can not reflect the influence of the high cited literature comprehensively, and its influence should be comprehensively evaluated by the cited frequency and Altmetrics index. Its social impact can be reflected by a comprehensive index of Altmetrics scores, which is mainly influenced by three indicators: the number of news references, the number of blog references, and the number of tweets. This indicates that these three indexes have important reference value for the social impact evaluation of high cited papers. In addition, the number of readings in Mendeley also reflects the academic influence of high cited papers. Based on the above conclusions, this paper clarifies the relationship and difference between the academic influence and social influence of high cited papers, and provides a new way of thinking for the evaluation of the influence of high cited papers. It provides a feasible strategy for the comprehensive impact evaluation of high cited papers, and provides a clear direction for the impact evaluation of scientific research results.
【學(xué)位授予單位】：武漢大學(xué)
【學(xué)位級(jí)別】：碩士
【學(xué)位授予年份】：2017
【分類號(hào)】：G353.1

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本文編號(hào)：1923458