Article Downloads Research Articles

The impact of scholarly podcasts on research distribution and uptake in oncology.

423 Background: Scholarly podcasts have grown in number and popularity in the post-COVID era. While such podcasts aim to increase research readership and understanding, their impact on these areas has not been quantitatively established. We assessed the relationship between Oncology research podcasts and various research distribution metrics. Methods: All research articles published in the Journal of Clinical Oncology (JCO) from January 2023 to December 2023 were reviewed. Published research articles in the JCO not discussed on the JCO or ASCO Clinical Guidelines podcast were used as controls. Google Scholar citations, Dimensions citations, Mendeley readership, News and Blog shares, Altmetric Attention Score (AAS), social media uptake (i.e., twitter shares), and article downloads were gathered, as well as podcast release dates and the presence of editorial(s) associated with the research article. Mann-Whitney U-tests were used to compare the medians of distribution metrics across podcast and control groups. A multivariate regression analysis incorporating confounding variables (accompanying editorial, subject of research, type of research) was completed. All non-research articles published during the inclusion period were removed from both control and podcast groups. Results: 421 research articles were published during the inclusion period, 57 of which were featured on featured in JCO or ASCO Clinical Guidelines Podcast. The median downloads (p < 0.02), AAS (p < 0.001), and Twitter shares (p <0.001) were significantly higher in the podcast group. Median Twitter shares were 2.3x greater in the podcast group, the largest difference for any metric between podcast and control groups. Median Google Scholar citations, Mendeley readership, News shares, and Dimensions citations were not significantly different between podcast and non-podcast groups. Upon multivariable regression analysis, only Twitter shares were significantly greater in the podcast group (β =22.0; 95% CI: 0.4 – 43.7; p=0.046). Similarly, only Twitter shares were significantly affected by the delay (in days) between podcast release and online publishing of the article (r = -0.284, p = 0.03). Conclusions: Of all distribution metrics, Twitter shares were most positively affected by the association of scholarly podcasts with research published in the JCO, while academic measures (i.e., citations) were unaffected by an association with a podcast. These findings can inform the application of podcasts to increase research uptake amongst target audiences.

Which orthodontic articles are accessed online the most? Exploring article usage metrics along with citations and altmetrics.

To investigate the current state of article usage metrics in orthodontics. Out of all orthodontic journals listed in Journal Citation Reports 2022, the European Journal of Orthodontics and The Angle Orthodontist fulfilled the inclusion criteria. All journal issues published in 2021 were scrutinized for original research articles and systematic reviews/meta-analyses, and the following features were collected: article type, subject, title, number of words and authors, Altmetric Attention Score (AAS), X (formerly Twitter) posts, and Mendeley reads. Article citations, number of publications, and h-index of the last authors were retrieved from Web of Science (WoS). 181 articles were considered eligible. The median number of views and downloads of included articles was 1296 (range: 355-10,233) and 793 (range: 167-3629). Page views, downloads, and total views were significantly correlated with WoS citations (rho > 0.345; P < .001). There was no correlation between usage metrics, AAS, X posts, and Mendeley reads. Number of downloads were significantly higher in studies dealing with new technologies, and where the last author had 1-40 publications or an h-index of 0-30. Page views, downloads, and total views were positively correlated with WoS citations and, therefore, may serve as an early estimate of future citations. Significant variations in article downloads may be expected in relation to article subject, scientific productivity, and impact of the last authors.

Beyond templates: methodological reporting practices and their impact in qualitative service research

PurposeThe study aims to promote the use of qualitative methods in service research by investigating how these methods are reported in service journals, how the level of reporting has evolved and whether methodological reporting influences the downloads or citations received by qualitative articles.Design/methodology/approachMethodological reporting practices were identified through content analysis of 318 qualitative articles published in three major service research journals and comparison with prior methodological literature. Regression analysis was used to test how the level of methodological reporting influences article downloads and citations.FindingsThe study identifies 29 reporting practices related to 9 key methodological reporting areas. The overall level of methodological reporting in published qualitative articles has increased over time. While differences in the level of reporting between service journals persist, they are narrowing. The level of methodological reporting did not influence downloads or citations of qualitative articles.Research limitations/implicationsService scholars using qualitative methods should pay attention to methodological reporting as it can improve the chances of being published. Factors such as theoretical contributions are likely to have a greater influence on article impact than methodological reporting.Originality/valueNo prior study has explored methodological reporting practices across different qualitative methodologies or how reporting influences article impact. For authors, reviewers and editors, the study provides an inventory of reporting practices relevant for evaluating qualitative articles, which should lower barriers for qualitative methods in service research by providing practical guidelines on what to focus on when reporting and assessing qualitative research.

Does Reader Engagement with Neurosurgery Journal Websites Correlate with the Number of Citations Received by Articles?

Medicine has begun adapting to new information-sharing paradigms in the hyper-connected social media era. In this milieu, the role of journal websites in the dissemination of clinical and research information needs to be reevaluated. We sought to explore whether reader engagement with neurosurgical journal websites, reflected by the number of article views and downloads, correlated with the eventual number of citations received by the articles. The websites of all Medline indexed neurosurgical journals were screened to identify those that provided information regarding the number of abstract and full text views and downloads. Articles published in these journals between July 2010 and June 2011 were included in this analysis. Various article attributes were identified and the number of citations per article was obtained from Google Scholar. The impact factors of the selected journals for the year 2010 were obtained from the Journal Citation Reports. Twenty-two journals that had published 2527 articles were finally included in this analysis. The number of abstract views, full-text views, and downloads all correlated strongly with the journal impact factors in 2010 as well as the eventual citations per article. The number of article downloads independently predicted the citations per article on multivariate analysis. Neurology India had significantly higher article views and downloads but lower citations per article than the other journals. Readers were found to engage significantly with neurosurgical journal websites and therefore, open access to articles would lead to increased visibility of articles, resulting in higher citation rates.

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Outcome measures in clinical education research

. The Journal of Clinical Education in Physical Therapy (JCEPT) is an open-access journal that disseminates peer-reviewed quantitative and qualitative scholarship to increase the quality evidence available related to clinical education in physical therapy. Since 2021, the number of article downloads has increased by more than 10-fold, with annual increases exceeding 200%. Open-access allows JCEPT readers free access to both read online and download full-text articles. Last year, one article was viewed over 900 times while another was downloaded nearly 1,200 times. The Directory of Open Access Journals (DOAJ) began indexing JCEPT last year and now accounts for 14% of our referral sources. Next year, we expect to obtain indexing in PubMed Central (PMC), which will further increase the discoverability of JCEPT articles. The nature of clinical education raises various challenges to research, with one being how to assess outcomes. Articles published this year in JCEPT reflect the thoughtful application of different approaches to outcome measures. Some questions were assessed with quantitative measures while others used qualitative research methods. Self-efficacy was measured in two different articles exploring the domains of cross-cultural psychological capital and clinical competence. Clinical reasoning was assessed using the physical therapy Clinical Performance Instrument in one article and script concordance tests in another. A more recently established outcome such as inter-professional socialization was assessed with a quantitative scale while emotional and educational adaptability themes were explored with qualitative methods. In past volumes, a SNAPPS model (summarize, narrow, analyse, probe, plan, select) of clinical mentoring was used to help students process initial evaluation findings and longitudinal narrative analyses were used to assess the development of resident clinical reasoning skills. Outcome measures assessing the effectiveness of clinical education are essential.1 Efforts may start with the thoughtful choice of psychometrically supported quantitative measures as well as rigorous description of qualitative measures.2 However, recent JCEPT articles suggest many factors can influence the quality of a clinician,1 including their educational curriculum, pre- clinical training, the clinical environment of their patient exposures, the individual characteristics and stresses of students and their clinical instructors, as well as environmental forces such as the COVID pandemic. Translating the effectiveness of clinical education to improved clinical care and patient outcomes remains a challenge for future researchers. JCEPT publishes scholarly work affecting any aspect of clinical education in physical therapy addressing academic or clinical faculty, entry-level students or residents, curricula or teaching and learning methods. In addition to original research, systematic reviews, and innovative teaching methods, this year JCEPT published our first ‘clinical education case report’ describing remediation methods during clinical training and related outcomes. We look forward to publishing more papers and developing the evidence underpinning physical therapy clinical education.

A New (Digital) Era in Medical Journalism: Leveraging Social Media and Other Online Tools to Increase Reach and Engagement.

Social media is a popular communication and marketing tool in modern society, with the power to reach and engage large audiences. Many members of the medical and radiology communities have embraced social media platforms, particularly X (formerly known as Twitter), as an efficient and economic means for performing patient outreach, disseminating research and educational materials, building networks, and promoting diversity. Editors of medical journals with a clear vision and relevant expertise can leverage social media and other digital tools to advance the journal's mission, further their interests, and directly benefit journal authors and readers. For editors, social media offers a means to increase article visibility and downloads, expand awareness of volunteer opportunities, and use metrics and other feedback to inform future initiatives. Authors benefit from broader dissemination of their work, which aids establishment of a national or international reputation. Readers can receive high-quality high-yield content in a digestible format directly on their devices while actively engaging with journal editors and authors in the online community. The authors highlight the multifaceted benefits of social media engagement and digital tool implementation in the context of medical journalism and summarize the activities of the RadioGraphics Social Media and Digital Innovation Team. By enumerating the social media activities of RadioGraphics and describing the underlying rationale for each activity, the authors present a blueprint for other medical journals considering similar initiatives. ©RSNA, 2023.

The impact of a dedicated social media strategy on enhancing surgical education

PurposeSocial media (SoMe) is increasingly important in surgical education and may be necessary in the current learning environment. Whilst expanding in use and applications, few studies detail the impact of SoMe on measurable outcomes. The goal of this study was to quantify the impact of a dedicated SoMe strategy on engagement metrics for surgical research.MethodsA retrospective review of a peer-reviewed surgical journal’s Twitter microblog platform (@ColorectalDis) was performed from 6/2015 to 4/2021. A formal SoMe strategy was introduced in September 2018. Data were stratified into 2 time periods: pre-intervention (6-2015 to 9-2018) and post-SoMe intervention (9-2018 to 4-2021). The main outcome was the impact of the SoMe strategy on user engagement with the Twitter platform, journal, and traditional journal metrics. Twitter Analytics and Twitonomy were used to analyse engagement.ResultsFrom conception to analysis, the microblog published 1198 original tweets, generating 5 million impressions and 231,000 engagements. Increased account activity (increased tweets published per month—5.51 vs 28.79; p < 0.01) was associated with significant engagement growth, including new monthly followers (213 vs 38; p < 0.01) and interactions with posted articles (4,096,167 vs 269,152; p < 0.01). Article downloads increased twenty-fold post-SoMe intervention (210,449 vs 10,934; p < 0.01), with significant increases in traditional journal metrics of new subscribers (+11%), article submissions (+24%), and impact factor (+0.9) (all p < 0.01).ConclusionSoMe directly impacts traditional journal metrics in surgical research. By examining the patterns of user engagement between SoMe and journal sites, the growing beneficial impact of a structured social media strategy and SoMe as an educational tool is demonstrated.

Promotion of a neurosurgical academic journal on social media: a 1-year experience

BackgroundSocial media (SoMe) use, in all of its forms, has seen massively increased throughout the past two decades, including academic publishing. Many journals have established a SoMe presence, yet the influence of promotion of scientific publications on their visibility and impact remains poorly studied. The European Journal of Neurosurgery «Acta Neurochirurgica» has established its SoMe presence in form of a Twitter account that regularly promotes its publications. We aim to analyze the impact of this initial SoMe campaign on various alternative metrics (altmetrics).MethodsA retrospective analysis of all articles published in the journal Acta Neurochirurgica between May 1st, 2018, and April 30th, 2020, was performed. These articles were divided into a historical control group — containing the articles published between May 1st, 2018, and April 30th, 2019, when the SoMe campaign was not yet established — and into an intervention group. Several altmetrics were analyzed, along with website visits and PDF downloads per month.ResultsIn total, 784 articles published during the study period, 128 (16.3%) were promoted via Twitter. During the promotion period, 29.7% of published articles were promoted. Overall, the published articles reached a mean of 31.3 ± 50.5 website visits and 17.5 ± 31.25 PDF downloads per month. Comparing the two study periods, no statistically significant differences in website visits (26.91 ± 32.87 vs. 34.90 ± 61.08, p = 0.189) and PDF downloads (17.52 ± 31.25 vs. 15.33 ± 16.07, p = 0.276) were detected. However, overall compared to non-promoted articles, promoted articles were visited (48.9 ± 95.0 vs. 29.0 ± 37.0, p = 0.005) and downloaded significantly more (25.7 ± 66.7 vs. 16.6 ± 18.0, p = 0.045) when compared to those who were not promoted during the promotion period.ConclusionsWe report a 1-year initial experience with promotion of a general neurosurgical journal on Twitter. Our data suggest a clear benefit of promotion on article site visits and article downloads, although no single responsible element could be determined in terms of altmetrics. The impact of SoMe promotion on other metrics, including traditional bibliometrics such as citations and journal impact factor, remains to be determined.

Measuring the value of online databases: a case study to validate an ROI model

PurposeThe return on investment (ROI) model is a tool used to measure the financial benefits and costs of an investment, in this case, the investment in digital library resources. By applying this model to the AAU digital library resources, the study seeks to determine whether these resources are providing sufficient value for the investment made in them.Design/methodology/approachThe proposed ROI model has two distinct phases and utilizes two different sets of data to calculate the return on investment for a database subscription. In Phase I, the ROI is calculated based on the total number of downloads of full-text articles from the database during the academic year 2019–2020. This information is used to determine the financial returns of the database subscription costs. In Phase II, the ROI is calculated by examining the citations drawn from the Scopus database on a sample of 30 funded research projects for the College of Engineering during the year 2019. These data are used to determine the impact of the database subscription on research output and its contribution to the success of the College of Engineering's research projects. The two phases of the proposed ROI model aim to provide a comprehensive understanding of the value of the database subscription and its impact on both financial returns and research output.FindingsThe findings of the study indicated different results between Phase 1 and Phase 2 of the study. The positive ROI in Phase 1 suggests that the investment in online databases has a good return for the AAU, as they are gaining almost a dollar for every dollar spent. However, the negative ROI in Phase 2 is concerning. It suggests that the investment in the IEEE database is not generating a positive return for the AAU and may even be costing the institution money. Overall, these findings highlight the importance of measuring ROI in academic libraries, particularly in Arab countries where resources may be limited. By understanding the impact of library investments on institutional outcomes, libraries can make informed decisions about where to allocate their resources and how to optimize their services to best serve their communities.Research limitations/implicationsThe findings of the current study were based on data collected from a specific sample, therefore, the findings may not be generalized to other academic libraries. A similar study with larger and more diverse samples can help to validate and extend the results of this study.Originality/valueThe findings of the study provide evidence that the proposed ROI model can be effectively applied in Arab countries and academic libraries in the Arab world, this could encourage more institutions in the region to adopt this model for evaluating their investments and projects. The study may also guide how to adapt the model to the specific cultural and organizational contexts of Arab countries.

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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIssue Editorial MastheadCite this: Acc. Mater. Res. 2023, 4, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/mrv004i006_1695121Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (194 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIssue Editorial MastheadCite this: ACS Appl. Nano Mater. 2023, 6, 12, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/anv006i012_1695010Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (168 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIssue Editorial MastheadCite this: ACS Sens. 2023, 8, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/sev008i006_1695276Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (258 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleIssue Publication InformationCite this: ACS Appl. Nano Mater. 2023, 6, 12, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/anv006i012_1695009Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (124 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleIssue Publication InformationCite this: ACS Appl. Opt. Mater. 2023, 1, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/otv001i006_1695105Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (199 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleIssue Publication InformationCite this: Acc. Mater. Res. 2023, 4, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/mrv004i006_1695122Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (249 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleNEXTIssue Editorial MastheadCite this: ACS Appl. Eng. Mater. 2023, 1, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/emv001i006_1695169Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (155 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleIssue Publication InformationCite this: ACS Appl. Eng. Mater. 2023, 1, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/emv001i006_1695168Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (194 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleIssue Publication InformationCite this: J. Nat. Prod. 2023, 86, 6, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/npv086i006_1694951Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (238 KB) Get e-Alertsclose Get e-Alerts

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ADVERTISEMENT RETURN TO ISSUEPREVArticleIssue Publication InformationCite this: Org. Lett. 2023, 25, 24, XXX-XXXPublication Date (Web):June 23, 2023Publication History Published online23 June 2023Published inissue 23 June 2023https://doi.org/10.1021/olv025i024_1695258Copyright © 2023 American Chemical SocietyRIGHTS & PERMISSIONSArticle Views-Altmetric-Citations-LEARN ABOUT THESE METRICSArticle Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated. Share Add toView InAdd Full Text with ReferenceAdd Description ExportRISCitationCitation and abstractCitation and referencesMore Options Share onFacebookTwitterWechatLinked InReddit PDF (138 KB) Get e-Alertsclose Get e-Alerts