Exploring the utility of an emerging altmetric platform: a SWOT analysis of Plum Analytics

Williams, Ann E.

doi:10.1108/dlp-08-2019-0031

Cited by 5 publications

(5 citation statements)

References 19 publications

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“…The rate of likes or shares of an article in a social platform can be a sign of its effectiveness or at least the attention of other researchers. Thus, Plum Analytics has social importance and this benefit can be considered as an opportunity for scholars to measure and increase the impact of their scholarship (Williams, 2019). Also Moradi and Alipour's (2018) the findings confirmed that Twitter is more popular to users than any other social media (Moradi and Alipour, 2018).…”

Section: Discussionmentioning

confidence: 89%

“…Thus, altmetrics are created as an alternative way of assessing attention rate, scientific and social impact of research to work on different users because citation metrics are not able to assess this type of impact (Hayashi, 2013;Holmberg, 2015;Lapinski et al, 2013;Ortega, 2016;Saberi and Ekhtiyari, 2019). Altmetrics provide a great opportunity to easily calculate and increase the impact of scientific outputs by researchers (Williams, 2019). The term "altmetrics" is described as "the creation and study of new metrics based on the social web for analyzing and informing scholarship" (Altmetrics, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Relationship between altmetric and bibliometric indicators across academic social sites in article-level: the case of Iranian researchers' “Top Papers” in clinical medicine

Batooli

Mohamadloo

Nadi-Ravandi

2021

LHT

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PurposeThe study aimed to measure scientific and social impacts of Iranian researchers' “Top Papers” in clinical medicine using citation and altmetric indicators.Design/methodology/approachIn this applied descriptive-analytical study, it used scientometric analysis. A total of 166 “Top Papers” of Iranian researchers in clinical medicine category of Web of Science (WoS) database including “Highly Cited Papers” and “Hot Papers” published between 2009 and 2019 were used. Overall, 29 indicators and their data were extracted from WoS, Scopus, ResearchGate (RG) and PlumX in March 2020.FindingsThe results showed that there exists a positive correlation between the number of citations in WoS, Scopus, RG, PubMed and Crossref. In addition, it was found that there existed a positive correlation between the received citations by articles and altmetric indicators. According to the results, there is a strong correlation between RG Research Interest and citation impact. The correlation analysis on the Plum Analytics categories including “Usage”, “Capture”, “Mention”, “Social Media” and “Citation” showed the correlations between five dimensions of impact were positive and significant. The results have led the authors to think more about new metrics that can response to new developments in the new information areas.Research limitations/implicationsThere are limitations to access altmetric.com in Iran and cannot be used easily. On the other hand, because of considering 24 indicators, authors had to investigate only a sample of 166 top papers from Iranian researchers to present the detailed results. About nature of altmetric indicators, although they reflect the nonacademic impact of articles alongside bibliographic indicators, they still cannot be a complete representative of the influence of their owners.Practical implicationsThis study can indicate a practical application appropriate for the future study. It would be valuable to further examine how social academic platforms construct images of impact of research and how this impacts the social impact of the university as a mission. This study suggests that social media attention to academic research can be much greater than what is shown in traditional indicators such as citation.Originality/valueThis study examines 29 indicators from four platforms including RG, WoS, Scopus and PlumX, simultaneously and measures the relationship among them.

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Section: Discussionmentioning

confidence: 89%

Section: Introductionmentioning

confidence: 99%

Relationship between altmetric and bibliometric indicators across academic social sites in article-level: the case of Iranian researchers' “Top Papers” in clinical medicine

Batooli

Mohamadloo

Nadi-Ravandi

2021

LHT

View full text Add to dashboard Cite

show abstract

“…The PlumX analytics data provider 11 was selected on the grounds that it is linked to the Scopus database. Plum Analytics is a subscription-based platform founded in 2012 which provides a wide range of Altmetrics (categorized into citations, usage, captures, mentions, and social media metrics) for each publication (Williams, 2019 ). The literature has pointed out PlumX as one of the major altmetrics data providers, especially to capture Mendeley readership (Ortega, 2018 ; Zahedi & Costas, 2018 ; Ortega, 2020 ; Karmakar et al, 2021 ).…”

Section: Methodsmentioning

confidence: 99%

Evaluating the online impact of reporting guidelines for randomised trial reports and protocols: a cross-sectional web-based data analysis of CONSORT and SPIRIT initiatives

et al. 2022

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Reporting guidelines are tools to help improve the transparency, completeness, and clarity of published articles in health research. Specifically, the CONSORT (Consolidated Standards of Reporting Trials) and SPIRIT (Standard Protocol Items: Recommendations for Interventional Trials) statements provide evidence-based guidance on what to include in randomised trial articles and protocols to guarantee the efficacy of interventions. These guidelines are subsequently described and discussed in journal articles and used to produce checklists. Determining the online impact (i.e., number and type of links received) of these articles can provide insights into the dissemination of reporting guidelines in broader environments (web-at-large) than simply that of the scientific publications that cite them. To address the technical limitations of link analysis, here the Debug-Validate-Access-Find (DVAF) method is designed and implemented to measure different facets of the guidelines’ online impact. A total of 65 articles related to 38 reporting guidelines are taken as a baseline, providing 240,128 URL citations, which are then refined, analysed, and categorised using the DVAF method. A total of 15,582 links to journal articles related to the CONSORT and SPIRIT initiatives were identified. CONSORT 2010 and SPIRIT 2013 were the reporting guidelines that received most links (URL citations) from other online objects (5328 and 2190, respectively). Overall, the online impact obtained is scattered (URL citations are received by different article URL IDs, mainly from link-based DOIs), narrow (limited number of linking domain names, half of articles are linked from fewer than 29 domain names), concentrated (links come from just a few academic publishers, around 60% from publishers), non-reputed (84% of links come from dubious websites and fake domain names) and highly decayed (89% of linking domain names were not accessible at the time of the analysis). In light of these results, it is concluded that the online impact of these guidelines could be improved, and a set of recommendations are proposed to this end.

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“…The platform combines the participants in the supply chain and the logistics company to form a blockchain alliance to track and trace the transaction throughout the whole process and to record the user data securely, in order to provide users with commodity traceability services and improve users' trust in the platform. Because of its immutability, decentralization, openness, and transparency, blockchain provides a safe and tamper-proof tool for data storage and value transactions, which can securely record platform user information, transaction information, and transaction item information [28] (b) Social interaction of platform users. The social interaction between platform users will reduce the unfamiliarity among the participants, increase the users' cognition of the platform and transactions, and then improve the users' trust in the platform and the willingness of users to participate in the value cocreation of the platform.…”

Section: Establishing a Blockchain Big Data Supervision Platformmentioning

confidence: 99%

Analysis of Platform Economic Supervision Mode from the Perspective of Blockchain

Yang

Zhou

Hao

et al. 2022

Mobile Information Systems

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In order to analyze the supervision mode of the platform economy from the perspective of blockchain, a blockchain-based method is proposed for the supervision mode of the platform economy. First, in terms of the speed of data collection, the economic monitoring and forecasting based on network big data are real-time from data acquisition to data analysis, so that problems can be detected earlier and serve the purpose of early warning of economic monitoring and forecasting; secondly, in the scope of data monitoring, data that has not been monitored in traditional fields becomes possible; thirdly, in data mining analysis, it can reflect more unpredictable knowledge laws. It proves that from the perspective of block chain, the platform pays the highest attention to the two indicators of taxation and establishment, accounting for 31.10% and 24.38%, respectively. The platform economic supervision model can also find certain correlations from the massive data and then analyze the laws of economic operation and find the influencing factors behind the phenomenon, so as to serve the supervision model.

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Exploring the utility of an emerging altmetric platform: a SWOT analysis of Plum Analytics

Cited by 5 publications

References 19 publications

Relationship between altmetric and bibliometric indicators across academic social sites in article-level: the case of Iranian researchers' “Top Papers” in clinical medicine

Relationship between altmetric and bibliometric indicators across academic social sites in article-level: the case of Iranian researchers' “Top Papers” in clinical medicine

Evaluating the online impact of reporting guidelines for randomised trial reports and protocols: a cross-sectional web-based data analysis of CONSORT and SPIRIT initiatives

Analysis of Platform Economic Supervision Mode from the Perspective of Blockchain

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