| In order to study the communication effect of sci-tech articles in journals sponsored by Jiangsu agricultural,forestry and pharmaceutical universities,this paper took 16 sci-tech journals in agricultural,forestry and pharmaceutical universities in Jiangsu Province as the research objects,We collected the 16 communication indicators of 640 articles in various network media platforms by using the big data mining method,the time cited of which articles were at the top 20 in 2019 and 2020 in CNKI database,and the 16 indicators were screened and dug from especial Chinese communication environment based on the Altmetrics concept.We carried out the correlation analysis and principal component analysis by using these data.Then we matched the three levels of the communication effect of the journal papers with the paper communication behavior and indicators,and adopted the questionnaire survey method,expert evaluation method,AHP analytic hierarchy process and other methods to assign the levels and index weights;Finally,we constructed the evaluation model of the communication power of papers in network medias.Based on this formula,we evaluated the communication power of the 640 scientific and technological journal papers in 16 journals,so as to.The results show that: 1)the network media convergence platforms for sci-tech periodical papers is mainly as OA media,CNKI database,Wanfang Database,We Chat official account,Tou Tiao,Video Number,Himalaya,learning public,Baidu academic and Baidu library.The media convergence of scientific papers improved the visibility of the papers and promotes the spread of the papers.2)There are 16 evaluation indicators to characterize the communication effect of papers,which are Wechat reading amount Wechat praise amount,Wechat viewing amount,reading amount in Tou Tiao,praise amount in Tou Tiao,Learning through browsing amount,Himalayan broadcasting amount,video media broadcasting amount and forwarding amount,Baidu academic reading amount,Baidu library reading amount,OA website browsing amount,OA website downloading amount,the downloading amount and cited amount in CNKI and Wan Fang databases.This paper analyzed the correlation between the 16 indexes of scientific papers and their cited indexes.There was an obvious correlation between the 16 indexes,indicating that the media visibility of scientific papers was the basis of being cited.3)According to the three levels of paper communication effect,16 indicators were classified according to the corresponding levels.Using questionnaire survey combined with expert evaluation,and the AHP analytic hierarchy process was used to assign the weights of levels and indicators.The evaluation model of media integration communication power of scientific and technological journal papers was constructed,which was the communication power of scientific and Technological Journal Papers(A)= 0.0697 × Wechat reading amount + 0.0128 × Tou Tiao reading amount + 0.0079 ×Learning pass viewing amount + 0.0131 × Himalayan playback amount + video playback amount× 0.0217+0.0233 × Reading amount of Baidu Library + 0.0376 × Baidu academic reading amount + 0.0750 × Journal OA website views amount + 0.0231 × Wechat viewing amount +0.0231 × Wechat praise amount + 0.0132 × Tou Tiao likes amount + 0.0211 × Video forwarding amount + 0.1585 × Journal OA website download amount + 0.1137 × CNKI downloads amount+ 0.0585 × Download amount of Wan Fang + 0.3278 × CNKI citations.The model was used to evaluate the communication power of the top 20 papers cited in the CNKI of 16 agricultural,forestry and Pharmaceutical Journals in Jiangsu Province from 2019 to 2020.The results show that the highest communication power of the papers in agricultural and forestry journals is2828.8238,and the average value is 516.2746;The highest transmission force of medicine is1315.4094,and the average value is 641.2768.4)Based on 10% of the number of papers published in each journal in the current year,the communication power of the top 10% papers in each journal is evaluated.According to the preliminary evaluation of the communication power of the top 10% papers in each journal,the order of the top six in the communication power of each journal is: Journal of Nanjing University of Traditional Chinese Medicine,Journal of Forestry Engineering,Journal of China Pharmaceutical University,Journal of Nanjing Agricultural University,Journal of Nanjing Forestry University(Natural Sciences),Progress in Pharmaceutical Sciences.Based on the media convergence environment in China,this evaluation system of the paper communication ability of Sci-tech Journals selects 16 indexes of up to 10 medias,introduces three levels of sci-tech paper communication from shallow to deep,uses expert questionnaire survey for the three levels,corresponds the paper communication indexes of Sci-tech Journals According to each level,combined with AHP,the project level and index level are assigned weights,therefor this kind of index can better avoid subjectivization.It reflects the dissemination of sci-tech journal papers in the web,mobile and academic fields(cited),and represents the social influence of the papers to a certain extent.It can better characterize the social contribution of the papers than the sum of a single cited index and a simple index.In terms of improving the communication power of scientific and technological journals,this paper puts forward some suggestions,such as building a new media integration matrix of scientific and technological journals,adapting scientific and technological journal papers to match the media communication form,strengthening the brand communication construction of scientific and technological journals,and building a compound talent team with media integration thinking. |
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