Studying the Influence of Scientific Articles on Social Texts Using Word Similarity Analysis and Altmetrics in the Field of Climate Change

Q: How can I download an article?

To download an article from SID, first log in to the site, search for the article title, and click on the 'Download Article' option.

Q: How can I download an ISI article?

To download an ISI article on SID, enter the keyword or article title in the search bar, view the relevant results, click on the desired article, and select the 'Download Article' option.

Q: How can I access the SID database?

To access the SID database, visit SID.ir, create an account, and log in to access scientific resources.

Q: Is downloading articles from SID free?

Some articles on SID are available for free, while others require payment. Details are specified on the article's page.

RAHIMI FOROUGH; RIAHINIA NOSRAT; Nourmohammadi Hamzehali; TAVAKOLIZADEH RAVARI MOHAMMAD; SOTUDEH HAJAR

مرکز اطلاعات علمی Scientific Information Database (SID) - Trusted Source for Research and Academic Resources

Journal Paper

Paper Information

Journal: Iranian Journal of Information Processing & Management Year:2020 | Volume:36 | Issue:1 (103) Page(s): 63-94

Download Full-Text

Persian Verion

View:

190

Download:

Cites:

Information Journal Paper

Title

Studying the Influence of Scientific Articles on Social Texts Using Word Similarity Analysis and Altmetrics in the Field of Climate Change

Author(s)

Keywords

AltmetricsQ1

CitationQ1

Inclusion IndexQ1

Scientific InfluenceQ1

Lexical SimilarityQ1

Abstract

The present survey aims to study the scientific texts and social texts linked each other by Citations in order to investigate the influence of scientific terms on social texts. The social text is expected to be a bridge between scholars and users by citing scientific texts. By indexing scientific and social text and measuring its similarity by means of an Inclusion Index, it is possible to see the influence of scientific terms on social texts. The basis of the statistical data of the present study is the scientific papers on climate change issues published in the journals covered by the Web of Science, which have the role of the research community. Sample members consisted of 9876 scientific and social texts (7912 social texts cited 1964 scientific texts) that were extracted and stored in. txt files with the help of Python web scraping using beautiful soup package. The pdf files were extracted manually and converted to a. txt file. The indexed terms of the scientific and social texts and the common terms between them, were identified and categorized according to their length and document types separately using the automatic negative indexing model and regular expressions. Measuring the penetration of scientific terms on social texts using the Inclusion Index showed that the average penetration rate was 27%. There was a positive, significant and strong correlation (0. 76) between the number of common terms and academic penetration. The results of chi-square test showed that there is a significant relationship at 1% level between the term length and the average penetration rate. There is also a difference between the level of penetration and the type of social documents type, including news, blogs, policy documents, Wikipedia, and peer reviews. The highest percentage of penetration is related to policy documents and then Wikipedia. Obtaining 22 Citations and 40 social Citations on average per paper, and the strong correlation between Citation and altmetric score, indicates the Citation influence among the academic and non-academic community. Collectively, with the power of Altmetrics like policy documents, Wikipedia and blogs and their permeability, they can be used to further promote scientific findings. Publishing scientific findings in these sources, even in a different language from scientific authors, can contribute to greater awareness of society and the general public.

Cites

No record.

References

No record.

Cite

APA: Copy

RAHIMI, FOROUGH, RIAHINIA, NOSRAT, Nourmohammadi, Hamzehali, TAVAKOLIZADEH RAVARI, MOHAMMAD, & SOTUDEH, HAJAR. (2020). Studying the Influence of Scientific Articles on Social Texts Using Word Similarity Analysis and Altmetrics in the Field of Climate Change. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), 36(1 (103) ), 63-94. SID. https://sid.ir/paper/388950/en

Vancouver: Copy

RAHIMI FOROUGH, RIAHINIA NOSRAT, Nourmohammadi Hamzehali, TAVAKOLIZADEH RAVARI MOHAMMAD, SOTUDEH HAJAR. Studying the Influence of Scientific Articles on Social Texts Using Word Similarity Analysis and Altmetrics in the Field of Climate Change. IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY)[Internet]. 2020;36(1 (103) ):63-94. Available from: https://sid.ir/paper/388950/en

IEEE: Copy

FOROUGH RAHIMI, NOSRAT RIAHINIA, Hamzehali Nourmohammadi, MOHAMMAD TAVAKOLIZADEH RAVARI, and HAJAR SOTUDEH, “Studying the Influence of Scientific Articles on Social Texts Using Word Similarity Analysis and Altmetrics in the Field of Climate Change,” IRANIAN JOURNAL OF INFORMATION PROCESSING & MANAGEMENT (INFORMATION SCIENCES AND TECHNOLOGY), vol. 36, no. 1 (103) , pp. 63–94, 2020, [Online]. Available: https://sid.ir/paper/388950/en

Related Journal Papers

No record.

Related Seminar Papers

No record.

Related Plans

No record.

Recommended Workshops