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          《國際期刊預警名單》專訪,深入報道預警期刊最新變化!

          時間:2024年03月08日 分類:新聞中心 次數:

          每次預警期刊的公布都牽動著很多學者的心緒,《Nature》專訪預警期刊負責人楊立英研究員,向全球科學家報道預警期刊的最新變化?!禖hina has a list of suspect journals and its just been updated》探討了這份全球影響力頗為深遠的預警期刊名單緣何而生、如何研制,

            每次預警期刊的公布都牽動著很多學者的心緒,《Nature》專訪預警期刊負責人楊立英研究員,向全球科學家報道預警期刊的最新變化?!禖hina has a list of suspect journals and it’s just been updated》探討了這份全球影響力頗為深遠的預警期刊名單緣何而生、如何研制,并進一步聚焦于名單在今年的新變化——明確標記了具有“引用操縱”等不當行為的期刊和與“國際傳播作用”背道而馳的期刊。

            下面是節選的部分重點內容,各位作者可作為參考:

            【名單背后的機制】

            以來自中國研究人員與科研管理者的反饋為工作基準,結合國際針對學術不端問題的研究錨定問題焦點。在識別異常期刊,確定初步名單后,我們與相關出版社就期刊被列入的原因進行反復溝通,得到調查反饋和合理闡釋的期刊,將被從上述異常名單中移除。我們始終歡迎來自各界的合理建議和意見,以優化工作。

            We start by collecting feedback from Chinese researchers and administrators, and we follow global discussions on new forms of misconduct to determine the problems to focus on. In January, we analyse raw data from the science-citation database Web of Science, provided by the publishing-analytics firm Clarivate, based in London, and prepare a preliminary list of journals. We share this with relevant publishers, and explain why their journals could end up on the list.

            Sometimes publishers give us feedback and make a case against including their journal. If their response is reasonable, we will remove it. We appreciate suggestions to improve our work. We never see the journal list as a perfect one. This year, discussions with publishers cut the list from around 50 journals down to 24.

            【預警標記透明化,預警類別動態更新,提供負責任的科學參考】

            由于注意到科研人員和科研管理人員常規性地回避被預警期刊的風險類別和具體問題,因此今年選擇不再設置風險分類,而是標注期刊被預警的具體原因,做到預警標準透明化。保持與各方交流,動態更新研制機制,比如開放獲取模式的興起部分證明期刊發文量快速增長的合理性,名單不應干預由市場決定的自然過程,因此取消了發文量陡增這一標準。

            In previous years, journals were categorized as being high, medium or low risk. This year, we didn’t report risk levels because we removed the low risk category, and we also realized that Chinese researchers ignore the risk categories and simply avoid journals on the list altogether. Instead, we provided an explanation of why the journal is on the list.

            In previous years, we included journals with publication numbers that increased very rapidly. For example, if a journal published 1,000 articles one year and then 5,000 the next year, our initial logic was that it would be hard for these journals to maintain their quality-control procedures. We have removed this criterion this year. The shift towards open access has meant that it is possible for journals to receive a large number of manuscripts, and therefore rapidly increase their article numbers. We don’t want to disturb this natural process decided by the market.

            【瞄準問題——標記出引用模式異常的期刊】

            科研界對期刊和作者間引用異常問題熱議不斷?;诳祁Nò矓祿䦷斓奈墨I數據,我們識別、追蹤并揭露了部分期刊存在的“引用操縱”行為。出版商對我們的工作反響積極,部分已經開展對不端行為的自查。我們將持續關注并嘗試調查新形式的“引用操縱”問題。

            We noticed that there has been a lot of discussion on the subject among researchers around the world. It’s hard for us to say whether the problem comes from the journals or from the authors themselves. Sometimes groups of authors agree to this citation manipulation mutually, or they use paper mills, which produce fake research papers. We identify these journals by looking for trends in citation data provided by Clarivate — for example, journals in which manuscript references are highly skewed to one journal issue or articles authored by a few researchers. Next year, we plan to investigate new forms of citation manipulation.

            Our work seems to have an impact on publishers. Many publishers have thanked us for alerting them to the issues in their journals, and some have initiated their own investigations. One example from this year, is the open-access publisher MDPI, based in Basel, Switzerland, whom we informed that four of its journals would be included in our list because of citation manipulation. Perhaps it is unrelated, but on 13 February, MDPI sent out a notice that it was looking into potential reviewer misconduct involving unethical citation practices in 23 of its journals.

            【瞄準問題——為何擔憂存在“畸形”中國論文比例的期刊】

            來自任何一個國家的作者比例從來不是預警一本期刊的獨立標準。若一本期刊的稿件幾乎全部來自于中國,期刊學術影響力極低,并需要支付不合理的高昂APC(論文處理費),這與國際期刊本應發揮的國際傳播作用是背道而馳的,此類發表可能是對有限科研經費的浪費,立足于朝向科研強國發展的中國科研界來看,這是一個需要擔憂的問題。

            This is not a criterion we use on its own. These journals publish — sometimes almost exclusively — articles by Chinese researchers, charge unreasonably high article processing fees and have a low citation impact. From a Chinese perspective, this is a concern because we are a developing country and want to make good use of our research funding to publish our work in truly international journals to contribute to global science. If scientists publish in journals where almost all the manuscripts come from Chinese researchers, our administrators will suggest that instead the work should be submitted to a local journal. That way, Chinese researchers can read it and learn from it quickly and don’t need to pay so much to publish it. This is a challenge that the Chinese research community has been confronting in recent years.

            【善用數據與工具】

            團隊持續關注并收集各類學術誠信平臺的信息,未來或將啟用圖像和文本檢測工具。團隊構建了“Amend”學術論文預警數據庫,對有疑問的文獻進行標記和追蹤,方便科研人員、科研管理者、期刊等查詢。

            My team collects information posted on social media as well as websites such as PubPeer, where users discuss published articles, and the research-integrity blog For Better Science. We currently don’t do the image or text checks ourselves, but we might start to do so later.

            My team has also created an online database of questionable articles called Amend, which researchers can access. We collect information on article retractions, notices of concern, corrections and articles that have been flagged on social media.

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