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Factors associated with online media attention to research: a cohort study of articles evaluating cancer treatments.

ABSTRACT: Background:New metrics have been developed to assess the impact of research and provide an indication of online media attention and data dissemination. We aimed to describe online media attention of articles evaluating cancer treatments and identify the factors associated with high online media attention. Methods:We systematically searched MEDLINE via PubMed on March 1, 2015 for articles published during the first 6 months of 2014 in oncology and medical journals with a diverse range of impact factors, from 3.9 to 54.4, and selected a sample of articles evaluating a cancer treatment regardless of study design. Altmetric Explorer was used to identify online media attention of selected articles. The primary outcome was media attention an article received online as measured by Altmetric score (i.e., number of mentions in online news outlets, science blogs and social media). Regression analysis was performed to investigate the factors associated with high media attention, and regression coefficients represent the logarithm of ratio of mean (RoM) values of Altmetric score per unit change in the covariate. Results:Among 792 articles, 218 (27.5%) received no online media attention (Altmetric score?=?0). The median [Q1-Q3] Altmetric score was 2.0 [0.0-8.0], range 0.0-428.0. On multivariate analysis, factors associated with high Altmetric score were presence of a press release (RoM?=?10.14, 95%CI [4.91-20.96]), open access to the article (RoM?=?1.48, 95%CI [1.02-2.16]), and journal impact factor (RoM?=?1.10, 95%CI [1.07-1.12]. As compared with observational studies, systematic reviews were not associated with high Altmetric score (RoM?=?1.46, 95%CI [0.74-2.86]; P?=?0.27), nor were RCTs (RoM?=?0.65, 95%CI [0.41-1.02]; P?=?0.059) and phase I/II non-RCTs (RoM?=?0.58, 95%CI [0.33-1.05]; P?=?0.07). The articles with abstract conclusions favouring study treatments were not associated with high Altmetric score (RoM?=?0.97, 95%CI [0.60-1.58]; P?=?0.91). Conclusions:Most important factors associated with high online media attention were the presence of a press release and the journal impact factor. There was no evidence that study design with high level of evidence and type of abstract conclusion were associated with high online media attention.

SUBMITTER: Haneef R

PROVIDER: S-EPMC5803628 | biostudies-literature | 2017

REPOSITORIES: biostudies-literature

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Factors associated with online media attention to research: a cohort study of articles evaluating cancer treatments.

Haneef Romana R Ravaud Philippe P Baron Gabriel G Ghosn Lina L Boutron Isabelle I

Research integrity and peer review 20170701

<h4>Background</h4>New metrics have been developed to assess the impact of research and provide an indication of online media attention and data dissemination. We aimed to describe online media attention of articles evaluating cancer treatments and identify the factors associated with high online media attention.<h4>Methods</h4>We systematically searched MEDLINE via PubMed on March 1, 2015 for articles published during the first 6 months of 2014 in oncology and medical journals with a diverse ra ...[more]

PMID: 29451556

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Project description:The number of retracted articles has grown fast. However, the extent to which researchers and the public are made adequately aware of these retractions and how the media and social media respond to them remains unknown. Here, we aimed to evaluate the media and social media attention received by retracted articles and assess also the attention they receive post-retraction versus pre-retraction. We downloaded all records of retracted literature maintained by the Retraction Watch Database and originally published between January 1, 2010 to December 31, 2015. For all 3,008 retracted articles with a separate DOI for the original and its retraction, we downloaded the respective Altmetric Attention Score (AAS) (from Altmetric) and citation count (from Crossref), for the original article and its retraction notice on June 6, 2018. We also compared the AAS of a random sample of 572 retracted full journal articles available on PubMed to that of unretracted full articles matched from the same issue and journal. 1,687 (56.1%) of retracted research articles received some amount of Altmetric attention, and 165 (5.5%) were even considered popular (AAS>20). 31 (1.0%) of 2,953 with a record on Crossref received >100 citations by June 6, 2018. Popular articles received substantially more attention than their retraction, even after adjusting for attention received post-retraction (Median difference, 29; 95% CI, 17-61). Unreliable results were the most frequent reason for retraction of popular articles (32; 19%), while fake peer review was the most common reason (421; 15%) for the retraction of other articles. In comparison to matched articles, retracted articles tended to receive more Altmetric attention (23/31 matched groups; P-value, 0.01), even after adjusting for attention received post-retraction. Our findings reveal that retracted articles may receive high attention from media and social media and that for popular articles, pre-retraction attention far outweighs post-retraction attention.

Project description:INTRODUCTION:Online media may influence women's decision to undergo vaccination during pregnancy. The aims of this mixed-methods study were to: (1) examine the portrayal of maternal vaccination in online media and (2) establish the perceived target of vaccine protection as viewed by pregnant women and maternity healthcare professionals (HCPs). METHODS:Online media articles on maternal vaccination (published July-December 2012 or November 2015-April 2016) were identified through the London School of Hygiene & Tropical Medicine's Vaccine Confidence Database and thematically analysed. Questionnaires for pregnant women and HCPs were distributed within four English hospitals (July 2017-January 2018). RESULTS:Of 203 articles identified, 60% related to pertussis vaccination, 33% to influenza and 6% both. The majority positively portrayed vaccination in pregnancy (97%), but inaccurate, negative articles persist which criticize pertussis vaccination's safety and efficacy. Positively-worded articles about pertussis tended to focus on infant protection and highlight examples of recent cases, whereas positively-worded articles about influenza focused on maternal protection. These themes were reflected in questionnaire responses from 314 pregnant women and 204 HCPs, who perceived pertussis vaccination as protecting the baby, and influenza vaccination as protecting the mother, or mother and baby equally. A minority of the pregnant women surveyed intended to decline influenza (22%) or pertussis (8%) vaccination. CONCLUSIONS:The majority of online articles support pertussis and influenza vaccination during pregnancy. The portrayal of pertussis vaccination as primarily benefiting the child, using real-examples, may influence its higher uptake compared with influenza. This approach should be considered by HCPs when recommending vaccination. HCPs should be prepared to provide advice to women hesitant about vaccination, including addressing any negative media, and consider educational strategies to counteract inaccurate information. Future studies should directly assess the influence of media on vaccine decision-making and establish which media platforms are typically used by pregnant women to gather information.

Project description:The aims of this article are to introduce the capability to view and interact with 3-dimensional (3D) surface models in online publications, and to describe how to prepare surface models for such online 3D visualizations.Three-dimensional image analysis methods include image acquisition, construction of surface models, registration in a common coordinate system, visualization of overlays, and quantification of changes. Cone-beam computed tomography scans were acquired as volumetric images that can be visualized as 3D projected images or used to construct polygonal meshes or surfaces of specific anatomic structures of interest. The anatomic structures of interest in the scans can be labeled with color (3D volumetric label maps), and then the scans are registered in a common coordinate system using a target region as the reference. The registered 3D volumetric label maps can be saved in .obj, .ply, .stl, or .vtk file formats and used for overlays, quantification of differences in each of the 3 planes of space, or color-coded graphic displays of 3D surface distances.All registered 3D surface models in this study were saved in .vtk file format and loaded in the Elsevier 3D viewer. In this study, we describe possible ways to visualize the surface models constructed from cone-beam computed tomography images using 2D and 3D figures. The 3D surface models are available in the article's online version for viewing and downloading using the reader's software of choice. These 3D graphic displays are represented in the print version as 2D snapshots. Overlays and color-coded distance maps can be displayed using the reader's software of choice, allowing graphic assessment of the location and direction of changes or morphologic differences relative to the structure of reference. The interpretation of 3D overlays and quantitative color-coded maps requires basic knowledge of 3D image analysis.When submitting manuscripts, authors can now upload 3D models that will allow readers to interact with or download them. Such interaction with 3D models in online articles now will give readers and authors better understanding and visualization of the results.

Project description:IntroductionSocial media listening (SML) is an approach to assess patient experience in different indications. This is the first study to report the results of using SML to understand patients' experiences of living with dry eye disease (DED).MethodsPublicly available, English-language social media content between December 2016 and August 2017 was searched employing pre-defined criteria using Social Studio®, an online aggregator-tool for posts from social media channels. Using natural language processing (NLP), posts were indexed using patient lexicon and disease-related keywords to derive a set of patient posts. NLP was used to identify relevance, followed by further manual evaluation and analysis to generate patient insights.ResultsIn all, 2279 possible patient records were identified following NLP, which were filtered for relevance to disease area by analysts, resulting in a total of 1192 posts which formed the basis of this study. Of these, 77% (n = 915) were from the USA. Symptoms, causes, diagnosis and treatments were the most commonly discussed themes. Most common symptoms mentioned were eye dryness (138/901), pain (114/901) and blurry vision (110/901). Pharmaceutical drugs (prescription and over-the-counter; 55%; 764/1393), followed by medical devices (20%; 280/1393), were mentioned as major options for managing symptoms. Of the pharmaceutical drugs, eye drops (33%; 158/476) and artificial tears (10%; 49/476) were the most common over-the-counter options reported, and Restasis® (22%; 103/476) and Xiidra® (6%; 27/476) were the most common prescription drugs. Patients voiced a significant impact of DED on their daily activities (4%; 9/224), work (23%; 51/224) and driving (12%; 26/224). Lack of DED specialists, standard diagnostic procedures, effective treatment options and need to increase awareness of DED among patients were identified as the key unmet needs.ConclusionsInsights revealed using SML strengthen our understanding about patient experiences and their unmet needs in DED. This study illustrates that an SML approach contributed effectively in generating patient insights, which can be utilised to inform early drug development process, market access strategies and stakeholder discussions.FundingNovartis Pharma AG, Basel, Switzerland. Plain language summary available for this article.

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Factors associated with online media attention to research: a cohort study of articles evaluating cancer treatments.

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Factors associated with online media attention to research: a cohort study of articles evaluating cancer treatments.

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