Orduña-Malea Enrique, Font-Julián Cristina I
Department of Audiovisual Communication, Documentation and History of Art, Universitat Politècnica de València, Valencia, Spain.
Department of Communication, Universitat Pompeu Fabra, Barcelona, Spain.
Scientometrics. 2022;127(11):6339-6362. doi: 10.1007/s11192-022-04519-y. Epub 2022 Oct 10.
This study attempts to analyze patents as cited/mentioned documents to better understand the interest, dissemination and engagement of these documents in social environments, laying the foundations for social media studies of patents (social Patentometrics).Particularly, this study aims to determine how patents are disseminated on Twitter by analyzing three elements: linking to patents, linking to patents, and linked from Twitter To do this, all the tweets containing at least one link to a full-text patent available on Google Patents were collected and analyzed, yielding a total of 126,815 tweets (and 129,001 links) to 86,417 patents. The results evidence an increase of the number of linking tweets over the years, presumably due to the creation of a standardized patent URL ID and the integration of Google Patents and Google Scholar, which took place in 2015. The engagement achieved by these tweets is limited (80.2% of tweets did not attract likes) but increasing notably since 2018. Two super-publisher twitter bot accounts (dailypatent and uspatentbot) are responsible of 53.3% of all the linking tweets, while most accounts are sporadic users linking to patent as part of a conversation. The patents most tweeted are, by far, from United States (87.5% of all links to Google Patents), mainly due to the effect of the two super-publishers. The impact of patents in terms of the number of tweets linking to them is unrelated to their year of publication, status or number of patent citations received, while controversial and media topics might be more determinant factors. However, further research is needed to better understand the topics discussed around patents on Twitter, the users involved, and the metrics attained. Given the increasing number of linking users and linked patents, this study finds Twitter as a relevant source to measure patent-level metrics, shedding light on the impact and interest of patents by the broad public.
本研究试图将专利作为被引用/提及的文献进行分析,以便更好地理解这些文献在社会环境中的关注度、传播情况和参与度,为专利的社交媒体研究(社会专利计量学)奠定基础。具体而言,本研究旨在通过分析三个要素来确定专利在推特上的传播方式:链接到专利、从推特链接到专利以及被推特链接。为此,收集并分析了所有包含至少一个指向谷歌专利上全文专利链接的推文,共得到126,815条推文(以及129,001个链接),涉及86,417项专利。结果表明,多年来链接推文的数量有所增加,这可能是由于2015年创建了标准化的专利URL ID以及谷歌专利与谷歌学术的整合。这些推文所获得的参与度有限(80.2%的推文没有获得点赞),但自2018年以来显著增加。两个超级发布者推特机器人账户(dailypatent和uspatentbot)发布了所有链接推文的53.3%,而大多数账户是作为对话的一部分偶尔链接到专利的用户。到目前为止,被推文最多的专利来自美国(占所有指向谷歌专利链接的87.5%),主要是由于这两个超级发布者的影响。就链接到它们的推文数量而言,专利的影响力与其出版年份、状态或获得的专利引用数量无关,而有争议的和媒体话题可能是更具决定性的因素。然而,需要进一步研究以更好地理解推特上围绕专利讨论的话题、涉及的用户以及所达到的指标。鉴于链接用户和被链接专利数量的增加,本研究发现推特是衡量专利层面指标的相关来源,有助于揭示广大公众对专利的影响和关注度。