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The study showcases the social impact (online attention) of funded research compared to nonfunded for the BRICS nations. The key themes achieving online attention across the funded and nonfunded publications have also been identified.

A total of 1,507,931 articles published across the BRICS nations for a period of three (03) years were downloaded from the Clarivate Analytics' InCites database of Web of Science (WoS). “Funding Acknowledgement Analysis (FAA)” was used to identify the funded and nonfunded publications. The altmetric score of the top highly cited (1%) publications was gauged from the largest altmetric data provider, “Altmetric.com”, using the DOI of each publication. One-way ANOVA test was used to know the impact of funding on the mentions (altmetrics) across different data sources covered by Altmetric.com. The highly predominant keywords (hotspots) have been mapped using bibliometric software, “VOSviewer”.

The mentions across all the altmetric sources for funded research are higher compared to nonfunded research for all nations. It indicates the altmetric advantage for funded research, as funded publications are more discussed, tweeted, shared and have more readers and citations; thus, acquiring more social impact/online attention compared to nonfunded publications. The difference in means for funded and nonfunded publications varies across various altmetric sources and nations. Further, the authors’ keyword analysis reveals the prominence of the respective nation names in publications of the BRICS.

The study showcases the utility of indexing the funding information and whether research funding increases social impact return (online attention). It presents altmetrics as an important impact assessment and evaluation framework indicator, adding one more dimension to the research performance. The linking of funding information with the altmetric score can be used to assess the online attention and multi-flavoured impact of a particular funding programme and source/agency of a nation so that necessary strategies would be framed to improve the reach and impact of funded research. It identifies countries that achieve significant online attention for their funded publications compared to nonfunded ones, along with the key themes that can be utilised to frame research and investment plans.

The study represents the social impact of funded research compared to nonfunded across the BRICS nations.

More and more e-commerce web sites are using online customer reviews (OCRs) for customer segmentation. However, for durable products, customer purchases, and reviews only once for a long time, as while the product review score may highly affected by service factors or be “gently” evaluated. Existing regression or machine learning-based methods suffer from low accuracy when applied to the OCRs of durable products on e-commerce web sites. The purpose of this paper is to propose a new approach for customer segment analysis base on OCRs of durable products.

The research proposes a two-stage approach that employs latent class analysis (LCA): the feature-mention matrix construction stage and the LCA-based customer segmentation stage. The approach considers reviewers’ mention on product features, and the probability-based LCA method is adopted upon the characteristics of online reviews, to effectively cluster reviewers into specified segmentations.

The research finding is that, using feature-mention instead of feature-opinion records makes segment analysis more effective. The research also finds that, LCA method can better explain the characteristics of the OCR data of durable products for customer segmentation.

The research proposes a new approach to durable product review mining for customer segmentation analysis. The segment analysis result can provide supports for new product design and development, repositioning of existing products, marketing strategy development and product differentiation.

A new approach for customer segmentation analysis base on OCRs of durable products is proposed.

By analyzing journal articles with high citation counts but low Twitter mentions and vice versa, the purpose of this paper is to provide an overall picture of differences between citation counts and Twitter mentions of academic articles.

Citation counts from the Web of Science and Twitter mentions of psychological articles under the Social Science Citation Index collection were collected for data analysis. An approach combining both statistical and simple content analysis was adopted to examine important factors contributing to citation counts and Twitter mentions, as well as the patterns of tweets mentioning academic articles.

Compared to citation counts, Twitter mentions have stronger affiliations with readability and accessibility of academic papers. Readability here was defined as the content size of articles and the usage of jargon and scientific expressions. In addition, Twitter activities, such as the use of hashtags and user mentions, could better facilitate the sharing of articles. Even though discussions of articles or related social phenomena were spotted in the contents of tweets, simple counts of Twitter mentions may not be reliable enough for research evaluations due to issues such as Twitter bots and a deficient understanding of Twitter users’ motivations for mentioning academic articles on Twitter.

This study has elaborated on the differences between Twitter mentions and citation counts by comparing the characteristics of Twitter-inclined and citation-inclined articles. It provides useful information for interested parties who would like to adopt social web metrics such as Twitter mentions as traces of broader engagement with academic literature and potential suggestions to increase the reliability of Twitter metrics. In addition, it gives specific tips for researchers to increase research visibility and get attention from the general public on Twitter.

The purpose of this paper is to assess the educational value of prestigious and productive Spanish scholarly publishers based on mentions of their books in online scholarly syllabi.

Syllabus mentions of 15,117 books from 27 publishers were searched for, manually checked and compared with Microsoft Academic (MA) citations.

Most books published by Ariel, Síntesis, Tecnos and Cátedra have been mentioned in at least one online syllabus, indicating that their books have consistently high educational value. In contrast, few books published by the most productive publishers were mentioned in online syllabi. Prestigious publishers have both the highest educational impact based on syllabus mentions and the highest research impact based on MA citations.

The results might be different for other publishers. The online syllabus mentions found may be a small fraction of the syllabus mentions of the sampled books.

Authors of Spanish-language social sciences and humanities books should consider general prestige when selecting a publisher if they want educational uptake for their work.

This is the first study assessing book publishers based on syllabus mentions.

Title and URL mentions have recently been proposed as web visibility indicators instead of inlink counts. The objective of this study is to determine the accuracy of these alternative web mention indicators in the Spanish academic system, taking into account their complexity (multi-domains) and diversity (different official languages).

Inlinks, title and URL mentions from 76 Spanish universities were manually extracted from the main search engines (Google, Google Scholar, Yahoo!, Bing and Exalead). Several statistical methods, such as correlation, difference tests and regression models, were used.

Web mentions, despite some limitations, can be used as substitutes for inlinks in the Spanish academic system, although these indicators are more likely to be influenced by the environment (language, web domain policy, etc.) than inlinks.

Title mentions provide unstable results caused by the multiple name variants which an institution can present (such as acronyms and other language versions). URL mentions are more stable, but they may present atypical points due to some shortcomings, the effect of which is that URL mentions do not have the same meaning as inlinks.

Web mentions should be used with caution and after a cleaning-up process. Moreover, these counts do not necessarily signify connectivity, so their use in global web analysis should be limited.

Web mentions have previously been used in some specific academic systems (US, UK and China), but this study analyses, in depth and for the first time, an entire non-English speaking European country (Spain), with complex academic web behaviour, which helps to better explain previous web mention results.

The first purpose of the present study is to investigate the coverage of journal articles in Physics in various sources of altmetrics. Secondly, the study investigates the relationship between altmetrics and citations. Finally, the study also investigates whether the relationship between citations and altmetrics was stronger or weaker for those articles that had been mentioned at least once in the sources of altmetrics.

The journal articles in Physics having at least one author from an Indian Institution and published during 2014–2018 in sources of altmetrics have been investigated. Altmetric.com was used for collecting altmetrics data. Spearman’s rank correlation coefficient (ρ) has been used as the data found to be skewed.

The highest coverage was found on Twitter (22.68%), followed by Facebook (3.62%) and blogs (2.18%). The coverage in the rest of the sources was less than 1%. The average Twitter mentions for journal articles tweeted at least once was found to be 4 (3.99) and for Facebook mentions, it was found to be 1.48. Correlations between Twitter mentions–citations and Facebook mentions–citation were found to be statistically significant but low to weak positive.

The study concludes that due to the low coverage of journal articles, altmetrics should be used cautiously for research evaluation keeping in mind the disciplinary differences. The study also suggests that altmetrics can function as complementary to citation-based metrics.

The study is one of the first large scale altmetrics studies dealing with research in Physics. Also, Indian research has not been attended to in the altmetrics literature and the present study shall fill that void.

This paper aims to assess the effects of explicit partner brand mentions (as opposed to a mere partnership mention) in communications by brand allies on consumers’ purchase intention and willingness to pay for an innovation, as mediated by the perceived relational embeddedness of the allies and their respective perceived corporate credibility. In Study 1, the authors investigate the effects of (reciprocal) explicit brand mentions by both allies (as opposed to by a single ally) and further test whether explicit brand mentions moderate spillover effects from the ally. In Study 2, the authors investigate the effect of reciprocity of explicit brand mentions and whether this is moderated by a company’s experience.

The authors conduct two online experiments. Study 1 (N = 216) is a four-level between-subjects experiment (single communication by Partner A with explicit brand mention, single communication by Partner B with explicit brand mention, explicit brand mentions by both allies and mere partnership mention by both allies) where participants judge a social alliance related to a new tablet. Study 2 (N = 376) builds upon these findings in a 4 (explicit brand mentions by both allies; mere partnership mention by both allies; explicit brand mention by Partner A, mere partnership mention by Partner B; explicit brand mention by partner B, mere partnership mention by Partner A) × 2 (Partner A experience: established vs startup) between-subjects experimental design for a co-created battery.

Spillover effects from one ally to the other are stronger with explicit brand mentions than with a mere partnership mention. There is no added value of two allies communicating over one, provided that both partners explicitly mention their partner brand. However, when allies do communicate separately, it is crucial that an explicit brand mention is reciprocated. This effect is explained by an increase in the perceived relational embeddedness of the partners, which in turn positively influences their corporate credibility. This effect does not differ depending on a company’s experience.

This research is one of the first to study effects of how a brand alliance is communicated and extends previous studies on the effects of communication about brand and co-creation alliances by demonstrating that communications moderate spillover effects, that brand mention reciprocity is crucial, and by introducing the concept of perceived relational embeddedness.

The purpose of this paper is to examine the effects of diabetes, patient age, and health insurance on the number of prescription and non‐prescription drugs mentioned (ordered or provided) per physician visit in the USA.

The National Center for Health Statistics annually conducts three surveys about ambulatory care physician visits: the National Ambulatory Medical Care Survey, the National Hospital Ambulatory Medical Care Survey – outpatient departments, and the National Hospital Ambulatory Medical Care Survey – emergency departments. For this study, the data collected in 2003 and 2004 by these surveys were analyzed with the SAS procedures SURVEYMEANS and SURVEYREG, which can take into account the multistage sample design of these surveys.

Regression analyses show significant effects of diabetes, patient age, and health insurance provider on the number of prescription drug mentions and non‐prescription drug mentions per physician visit. Among adults greater than 18 years old, and even for visits by persons greater than 75 years old, diabetes visits relative to non‐diabetes visits had significantly more prescription drug mentions per visit and significantly more non‐prescription drug mentions per visit physician visits, for both general purposes and diabetes, without insurance coverage had significantly fewer prescription drug mentions per visit than the corresponding visits covered by either private health insurance, Medicare, or Medicaid. Thus, the results show that physicians use more prescription drugs and non‐prescription drugs to manage diabetes visits than non‐diabetes visits and prescribe fewer medications when patients have no insurance than when they have Medicare, Medicaid, or private health insurance.

Results from a nationally representative sample of physician visits in the USA show that physicians order or provide substantially more drugs for diabetes visits. These results suggest that diabetes sharply increases drug consumption. Also, physicians are likely to prescribe more medications to patients who have health insurance relative to patients without health insurance.

This study explores consumers' self-congruence with luxury fashion brands they mention on Facebook. It investigates the extent to which those brands are congruent with the actual self (ASC) or the ideal self (ISC), and whether ASC or ISC of luxury fashion brands on Facebook predicts purchase intention. It also examines trait antecedents of both ASC and ISC Facebook mentions of luxury fashion brands, specifically materialism, self-monitoring and self-esteem.

Findings are presented from a survey of Facebook users who mention luxury fashion brands on the social medium.

Self-esteem was revealed as an antecedent of ASC luxury fashion brands mentioned on Facebook, while materialism and high self-monitoring predicted ISC luxury fashion brands. Only ASC luxury fashion brands mentioned online were positively associated with purchase intention.

Results are exploratory, and they are limited to those who are active Facebook users and who mention a luxury fashion brand on Facebook.

The study offers implications for managers of luxury fashion brands seeking to utilise Facebook to enhance the purchase intention for their brands or to increase the idealisation of the brand.

The paper provides new insights into the relationship between self-congruent mentions of luxury fashion brands on Facebook and purchase intention of those brands, distinguishing between ISC and ASC. This research also offers valuable and useful insights into ISC and ASC antecedents.

University students are a unique population with great potential to adopt eating habits that promote positive human and planetary health outcomes. The purpose of this study is to illustrate the current perceptions of sustainable eating behaviours among the students and to examine the determinants of sustainable eating behaviours.

Data were collected from December 2020 to May 2021 through focus group discussions among university students in Ontario, facilitated through synchronous online sessions. There were 21 student participants during the course of five focus group sessions (4–5 participants per session) from various departments within the university. The discussions were transcribed and analyzed for main themes and concepts using open coding; deductive coding based on the framework by Deliens et al. as well as the literature; and inductive coding for emerging themes.

The students had different perceptions about what constituted sustainable eating behaviours, some of which were not based on fact. A variety of individual, environmental (macro, micro and social) and university characteristics were mentioned as factors influencing sustainable food choices, with “food literacy” and “campus food” being the top two factors.

This study presents a novel and holistic overview of how sustainable eating behaviours and sustainable foods are perceived among university students and identifies the perceived determinants of adopting sustainable eating behaviours. This study helps with identifying opportunities to promote sustainable eating behaviours among university students and the design/implementation of informed interventions and policies aimed at improving eating behaviours.