scholarly journals Social Media Coverage of Scientific Articles Immediately After Publication Predicts Subsequent Citations - #SoME_Impact Score: Observational Analysis

10.2196/12288 ◽  
2020 ◽  
Vol 22 (4) ◽  
pp. e12288 ◽  
Author(s):  
Niranjan Jude Sathianathen ◽  
Robert Lane III ◽  
Declan G Murphy ◽  
Stacy Loeb ◽  
Caitlin Bakker ◽  
...  

Background Social media coverage is increasingly used to spread the message of scientific publications. Traditionally, the scientific impact of an article is measured by the number of citations. At a journal level, this conventionally matures over a 2-year period, and it is challenging to gauge impact around the time of publication. Objective We, therefore, aimed to assess whether Web-based attention is associated with citations and to develop a predictive model that assigns relative importance to different elements of social media coverage: the #SoME_Impact score. Methods We included all original articles published in 2015 in a selection of the highest impact journals: The New England Journal of Medicine, The Lancet, the Journal of the American Medical Association, Nature, Cell, and Science. We first characterized the change in Altmetric score over time by taking a single month’s sample of recently published articles from the same journals and gathered Altmetric data daily from the time of publication to create a mixed effects spline model. We then obtained the overall weighted Altmetric score for all articles from 2015, the unweighted data for each Altmetric component, and the 2-year citation count from Scopus for each of these articles from 2016 to 2017. We created a stepwise multivariable linear regression model to develop a #SoME_Score that was predictive of 2-year citations. The score was validated using a dataset of articles from the same journals published in 2016. Results In our unselected sample of 145 recently published articles, social media coverage appeared to plateau approximately 14 days after publication. A total of 3150 articles with a median citation count of 16 (IQR 5-33) and Altmetric score of 72 (IQR 28-169) were included for analysis. On multivariable regression, compared with articles in the lowest quantile of #SoME_Score, articles in the second, third, and upper quantiles had 0.81, 15.20, and 87.67 more citations, respectively. On the validation dataset, #SoME_Score model outperformed the Altmetric score (adjusted R2 0.19 vs 0.09; P<.001). Articles in the upper quantile of #SoME_Score were more than 5 times more likely to be among the upper quantile of those cites (odds ratio 5.61, 95% CI 4.70-6.73). Conclusions Social media attention predicts citations and could be used as an early surrogate measure of scientific impact. Owing to the cross-sectional study design, we cannot determine whether correlation relates to causation.

2018 ◽  
Author(s):  
Niranjan Jude Sathianathen ◽  
Robert Lane III ◽  
Declan G Murphy ◽  
Stacy Loeb ◽  
Caitlin Bakker ◽  
...  

BACKGROUND Social media coverage is increasingly used to spread the message of scientific publications. Traditionally, the scientific impact of an article is measured by the number of citations. At a journal level, this conventionally matures over a 2-year period, and it is challenging to gauge impact around the time of publication. OBJECTIVE We, therefore, aimed to assess whether Web-based attention is associated with citations and to develop a predictive model that assigns relative importance to different elements of social media coverage: the #SoME_Impact score. METHODS We included all original articles published in 2015 in a selection of the highest impact journals: The New England Journal of Medicine, The Lancet, the Journal of the American Medical Association, Nature, Cell, and Science. We first characterized the change in Altmetric score over time by taking a single month’s sample of recently published articles from the same journals and gathered Altmetric data daily from the time of publication to create a mixed effects spline model. We then obtained the overall weighted Altmetric score for all articles from 2015, the unweighted data for each Altmetric component, and the 2-year citation count from Scopus for each of these articles from 2016 to 2017. We created a stepwise multivariable linear regression model to develop a #SoME_Score that was predictive of 2-year citations. The score was validated using a dataset of articles from the same journals published in 2016. RESULTS In our unselected sample of 145 recently published articles, social media coverage appeared to plateau approximately 14 days after publication. A total of 3150 articles with a median citation count of 16 (IQR 5-33) and Altmetric score of 72 (IQR 28-169) were included for analysis. On multivariable regression, compared with articles in the lowest quantile of #SoME_Score, articles in the second, third, and upper quantiles had 0.81, 15.20, and 87.67 more citations, respectively. On the validation dataset, #SoME_Score model outperformed the Altmetric score (adjusted R<sup>2</sup> 0.19 vs 0.09; <i>P</i>&lt;.001). Articles in the upper quantile of #SoME_Score were more than 5 times more likely to be among the upper quantile of those cites (odds ratio 5.61, 95% CI 4.70-6.73). CONCLUSIONS Social media attention predicts citations and could be used as an early surrogate measure of scientific impact. Owing to the cross-sectional study design, we cannot determine whether correlation relates to causation.


10.2196/23724 ◽  
2020 ◽  
Vol 3 (1) ◽  
pp. e23724
Author(s):  
Chapman Wei ◽  
Aaron Fong ◽  
Theodore Quan ◽  
Puneet Gupta ◽  
Adam Friedman

Background Dermatologists are increasingly utilizing social media platforms to disseminate scientific information. New tools, such as altmetrics and PlumX metrics, have been made available to rapidly capture the level of scientific article dissemination across social media platforms. However, no studies have been performed to assess the level of scientific article dissemination across social media regarding hidradenitis suppurativa, a disease that is still currently not well understood. Objective The aim of our study was to evaluate the utility of altmetrics and PlumX metrics by characterizing the top 100 “trending” hidradenitis suppurativa articles in the altmetric database by the altmetric attention score and PlumX score. Methods Altmetric data components of the top 100 hidradenitis suppurativa articles were extracted from the altmetric database. Article citation count was found using Web of Science. PlumX field-weighted impact scores for each article were collected from the Scopus database. Journal title, open-access status, article type, and study design of original articles were assessed. Additionally, the altmetric attention score, PlumX score, and citation count were log transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were utilized to determine correlations. Results Most of the top 100 “trending” hidradenitis suppurativa articles were published in JAMA Dermatology (n=27, 27%). The median altmetric attention score, PlumX score, and citation count were 25.5, 3.7, and 10.5, respectively. The most mentions regarding social media platforms came from Twitter. Although no correlation was observed between the citation count and altmetric attention score (r2=0.019, P=.17), positive correlation was observed between the citation count and PlumX score (r2=0.469, P<.001). Conclusions Our research demonstrated that citation count is not correlated with the altmetric attention score, but is strongly correlated with the PlumX score regarding hidradenitis suppurativa articles at this point in time. With the continual increase of social media usage by medical professionals and researchers, this study can help investigators understand the best way to captivate their audience.


2020 ◽  
Author(s):  
Chapman Wei ◽  
Aaron Fong ◽  
Theodore Quan ◽  
Puneet Gupta ◽  
Adam Friedman

BACKGROUND Dermatologists are increasingly utilizing social media platforms to disseminate scientific information. New tools, such as altmetrics and PlumX metrics, have been made available to rapidly capture the level of scientific article dissemination across social media platforms. However, no studies have been performed to assess the level of scientific article dissemination across social media regarding hidradenitis suppurativa, a disease that is still currently not well understood. OBJECTIVE The aim of our study was to evaluate the utility of altmetrics and PlumX metrics by characterizing the top 100 “trending” hidradenitis suppurativa articles in the altmetric database by the altmetric attention score and PlumX score. METHODS Altmetric data components of the top 100 hidradenitis suppurativa articles were extracted from the altmetric database. Article citation count was found using Web of Science. PlumX field-weighted impact scores for each article were collected from the Scopus database. Journal title, open-access status, article type, and study design of original articles were assessed. Additionally, the altmetric attention score, PlumX score, and citation count were log transformed and adjusted by +1 for linear regression, and Spearman correlation coefficients were utilized to determine correlations. RESULTS Most of the top 100 “trending” hidradenitis suppurativa articles were published in <i>JAMA Dermatology</i> (n=27, 27%). The median altmetric attention score, PlumX score, and citation count were 25.5, 3.7, and 10.5, respectively. The most mentions regarding social media platforms came from Twitter. Although no correlation was observed between the citation count and altmetric attention score (<i>r<sup>2</sup></i>=0.019, <i>P</i>=.17), positive correlation was observed between the citation count and PlumX score (<i>r<sup>2</sup></i>=0.469, <i>P</i>&lt;.001). CONCLUSIONS Our research demonstrated that citation count is not correlated with the altmetric attention score, but is strongly correlated with the PlumX score regarding hidradenitis suppurativa articles at this point in time. With the continual increase of social media usage by medical professionals and researchers, this study can help investigators understand the best way to captivate their audience.


2018 ◽  
Author(s):  
Dave L Dixon ◽  
William L Baker

BACKGROUND The impact and quality of a faculty members publications is a key factor in promotion and tenure decisions and career advancement. Traditional measures, including citation counts and journal impact factor, have notable limitations. Since 2010, alternative metrics have been proposed as another means of assessing the impact and quality of scholarly work. The Altmetric Attention Score is an objective score frequently used to determine the immediate reach of a published work across the web, including news outlets, blogs, social media, and more. Several studies evaluating the correlation between the Altmetric Attention Score and number of citations have found mixed results and may be discipline-specific. OBJECTIVE To determine the correlation between higher Altmetric Attention Scores and citation count for journal articles published in major pharmacy journals. METHODS This cross-sectional study evaluated articles from major pharmacy journals ranked in the top 10% according to the Altmetric Attention Score. Sources of attention that determined the Altmetric Attention Score were obtained, as well each articles open access status, article type, study design, and topic. Correlation between journal characteristics, including the Altmetric Attention Score and number of citations, was assessed using the Spearman’s correlation test. A Kruskal-Wallis 1-way analysis of variance (ANOVA) was used to compare the Altmetric Attention Scores between journals. RESULTS Six major pharmacy journals were identified. A total of 1,376 articles were published in 2017 and 137 of these represented the top 10% with the highest Altmetric Attention Scores. The median Altmetric Attention Score was 19 (IQR 15-28). Twitter and Mendeley were the most common sources of attention. Over half (56.2%) of the articles were original investigations and 49.8% were either cross-sectional, qualitative, or cohort studies. No significant correlation was found between the Altmetric Attention Score and citation count (rs=0.07, P = 0.485). Mendeley was the only attention source that correlated with the number of citations (rs=0.486, P<0.001). The median Altmetric Attention Score varied widely between each journal (P<0.001). CONCLUSIONS The overall median Altmetric Attention score of 19 suggests articles published in major pharmacy journals are near the top 5% of all scientific output. However, we found no correlation between the Altmetric Attention Score and number of citations for articles published in major pharmacy journals in the year 2017.


2020 ◽  
Author(s):  
Emad Aborajooh ◽  
Mohammed Qussay Al-Sabbagh ◽  
Baraa Mafrachi ◽  
Muhammad Yassin ◽  
Rami Dwairi ◽  
...  

UNSTRUCTURED We aimed to measure levels of knowledge, awareness, and stress about COVID-19 among health care providers (HCP) in Jordan. This was a cross-sectional study on 397 HCPs that utilized an internet-based questionnaire to evaluate knowledge about COVID-19, availability of personal protective equipment (PEE), future perception, and psychological distress. Ordinal logistic regression analysis was used to evaluate factors associated with knowledge and psychological stress. Overall, 24.4% and 21.2% of the participants showed excellent knowledge and poor knowledge, respectively. Social media (61.7%) was the most commonly used source of information. Being female (β= 0.521, 95% CI 0.049 to 0.992), physician (β=1.421, 95% CI 0.849 to 1.992), or using literature to gain knowledge (β= 1.161, 95% CI 0.657 to 1.664) were positive predictors of higher knowledge. While having higher stress (β= -0.854, 95% CI -1.488 to -0.221) and using social media (β= -0.434, 95% CI -0.865 to -0.003) or conventional media (β= -0.884, 95% CI -1.358 to -0.409) for information were negative predictors of knowledge levels. HCPs are advised to use the literature as a source of information about the virus, its transmission, and the best practice. PPEs should be secured for HCPs to the psychological stress associated with treating COVID-19 patients.


2020 ◽  
Vol 30 (Supplement_5) ◽  
Author(s):  
R Vareda ◽  
T Garcia ◽  
J Rachadell

Abstract Background From disease prevention to health promotion, communication is key for Public Health (PH) practice and, according to the 9th Essential Public Health Operation its goal is to improve populations health literacy and capacity to access, understand and use information. Though social media is frequently presented as a potentially useful tool for PH communication, there is a lack of evidence about its effectiveness and impact on PH outcomes. This study researches Instagram® as a PH tool and aims to know who is using it, what content is shared on the platform and how much engagement there is. Methods This cross-sectional study regards information on 1000 Instagram® posts with the hashtags publichealth, publichealthpromotion, healthpromotion, publichealthmatters and publichealtheducation. Authors categorized post content and creators, and reviewed the number of likes and comments per post to determine engagement. Data analysis was performed on IBM SPSS® Statistics. Results The most common content categories were communicable diseases (n = 383), non-communicable diseases (n = 258) and healthy lifestyles (n = 143). Health professionals post more about communicable diseases (43,6%) and non-professionals about healthy lifestyles (36,1%). Non-professionals (n = 191) post about PH issues almost as much as health professionals (n = 220) and PH associations (n = 201). Most don't reference their sources (n = 821). Posts on communicable diseases have the most likes and comments per post (mean of 172 likes and 3,1 comments). Conclusions Half the Instagram® posts analysed in this study were made by health professionals or organizations. Communicable diseases, non-communicable diseases and healthy lifestyles were the most frequent content categories and had the most engagement. The majority of posts didn't reference their sources. Though Instagram® seems to be a potential PH communication tool, further research is needed to confirm its benefits for PH. Key messages Social media platforms like Instagram® are potentially powerful tools for PH communication. There is a need to understand the efficacy of social media as health promotion tools.


2021 ◽  
pp. 000348942098797
Author(s):  
Shadi Ahmadmehrabi ◽  
Deborah X. Xie ◽  
Bryan K. Ward ◽  
Paul C. Bryson ◽  
Patrick Byrne

Objectives: In addition to clinical and social disruption, the Coronavirus Disease 2019 (COVID-19) pandemic has affected many aspects of the otolaryngology residency application process. With delays in the 2021 Electronic Residency Applications Service (ERAS) timeline, students and programs have had more time to interact prior to the formal application process. This communication will report recent trends in social media presence by OHNS residency programs, and discuss mechanisms to compensate for decreased applicant-program interactions using social media ahead of the 2021 Match. Methods: In a cross-sectional study of the accredited otolaryngology residency programs in the United States, the number of social media profiles on Twitter, Instagram, and Facebook from 2009 to 2019 were recorded and compared. Results: Most programs (61%) have at least 1 social media profile. Over the past 10 years, the number of programs on social media has increased. During the COVID-19 pandemic, Twitter and Instagram showed higher rates of growth compared to Facebook. With the reduction of in-person opportunities for interactions, both applicants and programs are utilizing social media to showcase their values and their research. Twitter, in particular, also serves as a platform for professional networking. Conclusion: Both Twitter and Instagram are growing in popularity among programs and applicants to enhance networking. Social media is a powerful tool for networking and may help compensate for limitations imposed on the residency match process by the COVID-19 pandemic while maintaining professionalism considerations. The impact of social media on the 2021 otolaryngology residency match is an evolving phenomenon.


2017 ◽  
Vol 6 (1) ◽  
pp. 13
Author(s):  
Syed Meraj Ahmed ◽  
Faisal Alhumaidi Alruways ◽  
Thamer Fahad Alsallum ◽  
Meshal Munahi Almutairi ◽  
Abdullah Saif Al-Subhi ◽  
...  

<span lang="EN-US">Use of social media for patient care is the new frontier in the healthcare indus-try. Sharing of information between the clinicians and their patients is now so much easier. In slowly gaining a foothold worldwide it needs a healthy push to make it universally accepta-ble. Study the knowledge, attitude, and practices of healthcare providers on the usage of social media in their clinical practice.</span><span lang="EN-US">A baseline cross – sectional study was conducted among 200 healthcare professionals from March 2015 to September 2015 on their knowledge, attitude, and practices in the use of social media for patient care in Majmaah, Saudi Arabia. A close ended self – administered validated questionnaire was used to gather data which was analyzed by using the SPSS ver. 21.0 software. 55.3% participants used social media for both professional and personal reasons. Some (25.3%) specified using it for patient care while a significant majority (52.9%) opined that it can be successfully used for patient interaction. Nearly 55% agreed that social media should not be banned due to its benefits as an efficient tool for patient communication. </span><span>S</span><span lang="EN-US">ocial media use for pa-tient doctor interaction should be encouraged to improve patient care through effective com-munication.</span>


2017 ◽  
Vol 3 (2) ◽  
pp. e13 ◽  
Author(s):  
Karan D'Souza ◽  
Lucy Henningham ◽  
Runyu Zou ◽  
Jessica Huang ◽  
Elizabeth O'Sullivan ◽  
...  

2021 ◽  
Author(s):  
Hiva Bozorgpanah ◽  
Ghobad Moradi ◽  
Pourya Bahrami ◽  
Elham Noori ◽  
Mohammad Pourya Ezati ◽  
...  

Abstract Background and Aim: the present study was conducted to investigate social media statistics of usage and its determinant factors in students of Kurdistan University of Medical Sciences in 2018.Materials and Methods: This study is a cross-sectional-analytical study. The total of 380 students of Kurdistan University of Medical Sciences were randomly selected by Probability Proportional to Size Sampling method, from the lists of the students in each faculty. The data collection tool was a researcher-made questionnaire, organized in four sections. Data analysis was done using descriptive and inferential statistics by SPSS software version 21.Results: Based on the results of this study 373 (98.2%) of the sample students were on social media, which the most popular ones among them were Telegram (94.1%), Instagram (78.8%) and Whatsapp (61.9%), respectively. The average time spent on social media among students was reported to be 2.78 hours per day and is a significant difference between age groups in terms of attitudes toward using social media (P = 0.031).Conclusion: the results of this study suggested that the majority of students use social media. Since improper use of social media can exert unfortunate effects on different aspects of life of students, and negatively influence their education.


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