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@article{Nemati-Anaraki2024,

title = {A bibliometric Overview and visualization of Koomesh Journal from 2006 to 2022},

author = {Leila Nemati-Anaraki and Ali Ouchi and Maedeh Pourmojdegani},

url = {https://repository.brieflands.com/handle/123456789/61490

https://repository.brieflands.com/items/9d70b205-f684-489b-a781-1dc6b40049fb

https://brieflands.com/articles/koomesh-152853.pdf},

year  = {2024},

date = {2024-08-06},

urldate = {2024-08-06},

journal = {Koomesh},

volume = {25},

issue = {4},

pages = {535-549},

publisher = {Brieflands},

address = {Iran},

abstract = {هدف:مجله کومشيکمجله قديميو پيشرودر ايراناست که از سال2006به عنوان بستريبرايتحقيقاتحوزه پزشکي

خدمت کرده است. هدف اصلياينمطالعه ارائهيکنمايکلياز ساختار انتشارات مجله کومش طيسالهاي2006تا2022از

طريقتحليلکتابسنجياست.

مواد و روشها:اينمطالعه با رويکردکتابسنجيانجام شد. جامعه مطالعه را1238سند منتشر شده در مجله کومش

تشکيلميدهد.دادههايکتابشناختيايناسناد از پايگاهداده اسکوپوس استخراج شد و روندها و موضوعات مهم مجله مانند

ساختار انتشار و استناد مجله، مقاالت پر استناد آن، نويسندگان،مؤسسات و کشورها با استفاده از طيفوسيعيازتکنيکها و

ابزارهايمختلف کتابسنجياز جمله اکسل،SPSSنسخه26،VOS Viewer،CorTexوBiblioshinyاستخراج شد.

يافتهها:کومش هم از نظر بهرهوريو هم از نظر نفوذ ابتدا با افت و خيزهاييرشد کرده و سپس کاهشيافتهاست. دانشگاه

علوم پزشکيسمنان و کشور ايرانبه ترتيبموسسه و کشور با بيشتريندرصد مشارکت در اينمجله هستند. راهب قرباني

تاثيرگذارترينو پرکارتريننويسندهکومش بود. ميزان همتاليفي ًنسبتاخوبيبيننويسندگانبرتر مجله وجود دارد. بيشترين

همتاليفيبينکشورهايايرانو سوئد و از نظر شهر، بينتهران و سمنان صورت گرفته است. کلمات ايران،ورزش و اضطراببه

ترتيبسه کلمه مهم و پرتکرار نويسندگانبوده است. بيشترينبحث نيزبر رويموضوعاتprecision medicineو کوويد-19

بود.

نتيجهگيري:اينمطالعهيکنمايکلياز ساختار انتشارات مجله کومش طيسالهاي2006تا2022ارائه کرده است. اين

مطالعه ممکن است برايهيئتتحريريهمجله مفيدباشد، زيرااطالعات متعدد و مفيديرا برايپيشرفتو ادامه راهکومش

فراهم ميکند.



Introduction: The Koomesh Journal, a pioneering and influential medical research publication in Iran, has been active since 2006. This study aims to offer a comprehensive overview of the journal's publication structure from 2006 to 2022 using bibliometric analysis.

Materials and Methods: This study was conducted with a bibliometric approach. The study population consists of 1238 documents published in the Koomesh Journal. The bibliographic data of these documents were extracted from the Scopus database, and various bibliometric techniques and tools, such as Excel 365, SPSS 26, VOS Viewer, CorTex, and Biblioshiny, were extracted to examine trends and significant topics such as the journal's publication and citation structure, highly cited articles, authors, institutions, and countries.

Results: Koomesh experienced fluctuations in productivity and impact before declining. Semnan University of Medical Sciences and Iran were the institutions and countries with the highest participation rates, respectively. Raheb Ghorbani emerged as the most influential and prolific author. The article "Estimation of natural age of menopause in Iranian women: A meta-analysis study" received the most citations. A considerable degree of co-authorship existed among the journal's top authors, with the most collaboration occurring between Iran and Sweden and, in terms of cities, Tehran and Semnan. The terms Iran, sports, and anxiety were the most prevalent and significant. The most discussion was on precision medicine and COVID-19.

Conclusion: This study has provided an overview of the publication structure of Koomesh Journal during the years 2006 to 2022. This study may be useful for the editorial board of the journal, because it provides numerous and useful information for the progress and continuation of the work.},

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pubstate = {published},

tppubtype = {article}

}

@article{Barats2024,

title = {Dire l’inceste sur Twitter : caractéristiques discursives et dynamiques de circulation de #MeTooInceste},

author = {Christine Barats and Laetitia Biscarrat and Camille Chanial},

url = {https://journals.openedition.org/questionsdecommunication/34785},

doi = {/10.4000/11wx1},

issn = {2259-8901},

year  = {2024},

date = {2024-06-30},

journal = {Questions de communication},

volume = {45},

abstract = {Dans le prolongement de #MeToo, en janvier 2021, le hashtag #MeTooInceste a contribué à réactualiser le problème public de l’inceste en France. Afin de prêter attention aux caractéristiques de ces prises de parole, différents matériaux ont été recueillis (corpus de tweets et entretiens). Les différents types de données ont permis de combiner et d’articuler des analyses quantitatives et qualitatives et de les contextualiser, dans une dynamique de méthodes mixtes. Les caractéristiques sémio-discursives de ces prises de parole ont été mises au jour, en particulier leurs caractéristiques lexicales et morphosyntaxiques. La diversité des prises de parole montre ainsi la centralité du témoignage et éclaire les ressorts de sa circulation, en l’occurrence le rôle de certains comptes qui contribuent à la dynamique de circulation du hashtag et à son déploiement.



In the wake of #MeToo, the January 2021 hashtag #MeTooInceste helped to update the public issue of incest in France. We collected various types of material (a corpus of tweets and interviews) in order to examine the characteristics of these expressions. We have contextualized, analyzed and discussed these data thanks to a mixed method relying on both quantitative and qualitative tools. We have uncovered the semiodiscursive characteristics of these utterances, in particular their lexical and morphosyntactic features. The diversity of the responses shows the centrality of the testimony and sheds light on the reasons for its circulation, in this case the role of certain Twitter accounts that contribute to the circulation of the hashtag and its deployment.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Rikap2024,

title = {Varieties of corporate innovation systems and their interplay with global and national systems: Amazon, Facebook, Google and Microsoft’s strategies to produce and appropriate artificial intelligence},

author = {Cecilia Rikap},

url = {https://www.tandfonline.com/doi/pdf/10.1080/09692290.2024.2365757},

doi = {/10.1080/09692290.2024.2365757},

year  = {2024},

date = {2024-06-24},

journal = {Review of inteRnational Political economy},

abstract = {The widely accepted globalization of innovation entails two interrelated undertheorized aspects: (1) the capacity of certain firms to orchestrate transnational innovation systems appropriating successful results, which some have explained with the concept of corporate innovation systems (CIS), and (2) the co-existence of such globalization with those CIS and national innovation systems. I address these matters analysing US Big Tech artificial intelligence (AI) CIS showing that they combine multiple mechanisms to co-produce and appropriate AI. I propose ‘frenemy’ to describe Microsoft’s strategy because many Chinese organizations and even direct competitors integrate its CIS. ‘University’ symbolises Google’s strategy, given its focus on fundamental AI, its central place in the AI research field and appropriation mechanisms that are not translating into clear business advantages. ‘Secrecy’ defines Amazon’s strategy, maximizing knowledge inflows while minimizing outflows. Facebook, with the narrowest AI CIS, exhibits an ‘application-centred’ strategy. Ultimately, this paper contributes to understanding the multiple mechanisms used by leading corporations for controlling and shaping frontier transnational knowledge production and appropriation. By doing so, it advances our knowledge of the interplay between different innovation spheres (national, global and corporate) and highlights the dangers of CIS’s encroachment of national and global systems.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}

@article{Gourlet2024,

title = {Reclaiming artificial intelligence accounts: A plea for a participatory turn in artificial intelligence inquiries},

author = {Pauline Gourlet and Donato Ricci and Maxime Crépel},

url = {https://journals.sagepub.com/doi/pdf/10.1177/20539517241248093},

doi = {0.1177/20539517241248093},

year  = {2024},

date = {2024-05-01},

urldate = {2024-05-01},

journal = {Big Data & Society},

abstract = {How to participate in artificial intelligence otherwise? Put simply, when it comes to technological developments, participation is either understood as public debates with non-expert voices to anticipate risks and potential harms, or as a way to better design technical systems by involving diverse stakeholders in the design process. We advocate for a third path that considers participation as crucial to problematise what is at stake and to get a grip on the situated developments of artificial intelligence technologies.

This study addresses how the production of accounts shape problems that arise with artificial intelligence technologies.

Taking France as a field of study, we first inspected how media narratives account for the entities and issues of artificial intelligence, as reported by the national press over the last decade. From this inspection, we identified four genres and described their performative effects. We then conducted a participatory inquiry with 25 French artificial intelligence practitioners’ to ground artificial intelligence in situated experiences and trajectories. These experiential accounts enabled a plural problematisation of artificial intelligence, playing with the geometries of artificial intelligence and its constituencies, while diversifying and thickening its problems.

To conclude, we discuss how participatory inquiries, through experiential and plural accounts offer a refreshing weaving of artificial intelligence problems into the fabric of its deployments. Our participatory approach seeks to re-politicise artificial intelligence from practitioners’ situated experiences, by making the ongoing relationships between past trajectories, current frictions and future developments tangible and contestable, opening avenues to contribute otherwise.},

keywords = {},

pubstate = {published},

tppubtype = {article}

}