Academic business research: Impact on academics versus impact on practice.

Business journalists and editors of academic business journals have lamented that academic research has little use for any nonacademic stakeholders, including companies, nonprofits, regulators, and governments. Although emotionally unsettling, these commentaries are bereft of evidence on how well a journal's academic impact (measured by impact factor) translates into practice impact. The authors provide this evidence. Specifically, they sample 56 journals, spanning 12 business disciplines, from 2000 to 2020. For each journal-year, they measure two- and five-year impact factor, which proxies the impact on academics. Next, for each article published in each journal-year, they collect attention score-a weighted sum of the number of times the article is cited in 19 types of practitioner outlets-from Altmetric. The authors then measure the correlation coefficient between the impact factor and attention score for each journal in periods of two-year and five-year. The coefficient indicates how well the journal's academic impact has translated into practice impact. Among the 12 disciplines, international business discipline tops the chart, while information systems, accounting, and finance occupy the bottom positions. American Economic Review leads the 56 journals, with Journal of Marketing Research and California Management Review as close followers. The findings highlight the impact of academic business research-or the lack thereof.

Clustering in a newly forming social network by subjective perceptions of loneliness.

Objectives: To determine whether first-year college students cluster in networks based on subjective perceptions of loneliness. Participants: 492 first-year Notre Dame students completed surveys across two semesters and provided communication data used to reconstruct their social networks. Methods: Subjective perceptions of loneliness are measured using the Social and Emotional Loneliness Scale for Adults (SELSA). Correlations between an individual's loneliness and the average loneliness of their alters are compared to associations in random networks created using a rewiring algorithm to determine statistical significance. Results: During their first semester, students are more likely than chance to form ties with other students with similar levels of family and romantic loneliness. In their second semester, students cluster on romantic loneliness but not on family or social loneliness. Conclusions: Students are more likely than chance to form ties with people with similar self-perceived levels of loneliness, but only for certain types of loneliness and during certain periods.

"Scentsor": A Whole-Cell Yeast Biosensor with an Olfactory Reporter for Low-Cost and Equipment-Free Detection of Pharmaceuticals.

Portable and inexpensive analytical tools are required to monitor pharmaceutical quality in technology limited settings including low- and middle-income countries (LMICs). Whole cell yeast biosensors have the potential to help meet this need. However, most of the readouts for yeast biosensors require expensive equipment or reagents. To overcome this challenge, we have designed a yeast biosensor that produces a unique scent as a readout. This inducible scent biosensor, or "scentsor", does not require the user to administer additional reagents for reporter development and utilizes only the user's nose to be "read". In this Letter, we describe a scentsor that is responsive to the hormone estradiol (E2). The best estimate threshold (BET) for E2 detection with a panel of human volunteers (n = 49) is 39 nM E2 (15 nM when "non-smellers" are excluded). This concentration of E2 is sensitive enough to detect levels of E2 that would be found in dosage forms. This paper provides evidence that scent has the potential for use in portable yeast biosensors as a readout, particularly for use in LMICs.