Although counts of tweets citing academic papers are used as an informal indicator of interest, little is known about who tweets academic papers and who uses Twitter to find scholarly information. Without knowing this, it is difficult to draw useful conclusions from a publication being frequently tweeted. This study surveyed 1,912 users that have tweeted journal articles to ask about their scholarly-related Twitter uses. Almost half of the respondents (45%) did not work in academia, despite the sample probably being biased towards academics. Twitter was used most by people with a social science or humanities background. People tend to leverage social ties on Twitter to find information rather than searching for relevant tweets. Twitter is used in academia to acquire and share real-time information and to develop connections with others. Motivations for using Twitter vary by discipline, occupation, and employment sector, but not much by gender. These factors also influence the sharing of different types of academic information. This study provides evidence that Twitter plays a significant role in the discovery of scholarly information and cross-disciplinary knowledge spreading. Most importantly, the large numbers of non-academic users support the claims of those using tweet counts as evidence for the non-academic impacts of scholarly research.

Conclusion: Assessment of research impact using traditional citation analysis alone is not a sufficient tool for assessing the impact of research findings, and it is not predictive of subsequent clinical applications resulting in meaningful health outcomes. The Becker Model can be used by both researchers and librarians to document research impact to supplement citation analysis.

Under appropriate conditions, functional Escherichia coli 30S ribosomal subunits assemble in vitro from purified components. However, at low temperatures, assembly stalls, producing an intermediate (RI) that sediments at 21S and is composed of 16S ribosomal RNA (rRNA) and a subset of ribosomal proteins (r-proteins). Incubation of RI at elevated temperatures produces a particle, RI*, of similar composition but different sedimentation coefficient (26S). Once formed, RI* rapidly associates with the remaining r-proteins to produce mature 30S subunits. To understand the nature of this transition from RI to RI*, changes in the reactivity of 16S rRNA between these two states were monitored by chemical modification and primer extension analysis. Evaluation of this data using structural and biochemical information reveals that many changes are r-protein-dependent and some are clustered in functional regions, suggesting that this transition is an important step in functional 30S subunit formation.

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Assigning authorship and recognizing contributions to scholarly works is challenging on many levels. Here we discuss ethical, social, and technical challenges to the concept of authorship that may impede the recognition of contributions to a scholarly work. Recent work in the field of authorship shows that shifting to a more inclusive contributorship approach may address these challenges. Recent efforts to enable better recognition of contributions to scholarship include the development of the Contributor Role Ontology (CRO), which extends the CRediT taxonomy and can be used in information systems for structuring contributions. We also introduce the Contributor Attribution Model (CAM), which provides a simple data model that relates the contributor to research objects via the role that they played, as well as the provenance of the information. Finally, requirements for the adoption of a contributorship-based approach are discussed.