Can a great song title make your paper more visible? In our new study, we explored how famous song titles appear in Scopus-indexed article titles.
๐ง https://doi.org/10.1177/01655515261437409
We found that in most cases, these titles are used as catchy rhetorical signals to attract readers. But hereโs the catch: they donโt necessarily lead to higher citations. So yes, your title can sound like a rock hitโฆ but impact still depends on more than style.
Gave a short online lecture on altmetrics today. Main point: altmetrics measure attention, not quality. Sometimes they capture real interest - sometimes just noise. Attention โ impact.
๐ https://doi.org/10.13140/RG.2.2.30154.12488
#Altmetrics #ResearchImpact #OpenScience #ScholarlyCommunication #Scientometrics
A recent Journal of Informetrics study shows โ There is no universal number of โtoo many authors.โ
In some fields, 3โ6 may already be unusual.
In medicine โ dozens are common.
In physics โ large teams are often the norm.
https://doi.org/10.1016/j.joi.2026.101803
Yes, #hyperauthorship can signal problems (e.g., honorary authorship, metric inflation). But the key question is not โhow many authors?โ ๐ it is: Is this abnormal for this field and time?
Most research evaluation still rewards papers, not the work that makes them possible. Yet researchers say up to 75% of a project can be data work: collecting, cleaning, curating, documenting.
https://doi.org/10.1093/reseval/rvag008
Maybe it's time to stop pretending that publications alone represent research.
#OpenScience #ResearchEvaluation #DataCitation #ResponsibleMetrics #Scientometrics
New paper in Research Evaluation explores how researchers actually cite data. Key insight: data citations are far more complex than simple indicators of data reuse.
https://doi.org/10.1093/reseval/rvag008
They reflect scientific practice, community norms, attribution, and even reputation-building. A timely reminder: metrics alone cannot capture the real value of data work.
#OpenScience #DataCitation #ResearchEvaluation #ResponsibleMetrics #Scientometrics
Where do bibliometricians come from? ๐ค A new international study suggests a simple answer: mostly from academic libraries. Around 60% of people doing bibliometric work at universities are based there.
https://doi.org/10.1177/01655515261417634
The catch? Over 70% say they never had formal training in bibliometrics. People simply grow into the role while working with databases, indicators and research analytics.
#bibliometrics #scientometrics #researchmetrics #responsiblemetrics #openscience
New commentary published in #Scientometrics: โScientific collaboration without flights: Ukraineโs wartime adaptation.โ
https://doi.org/10.1007/s11192-026-05576-3
Since 2022, #Ukraine has had no civilian air travel, severely limiting academic mobility. Yet, international co-authorship involving Ukrainian institutions has not declined โ it has increased. A small piece on resilience, digital collaboration, and global academic solidarity.
#ResearchCollaboration #OpenScience #ScienceResilience #GlobalScience
#Scientometrics & #Bibliometrics researchers!
#DidYouKnow the #OpenAIREGraph dataset is publicly accessible on #GoogleCloud #BigQuery with full tutorials & use-cases available?
Ready for you to explore, analyze, and discover insights!
โ
Query millions of publications, datasets, software, projects & their relationships
โ
Build custom analytics
โ
Track research impact & collaboration networks
๐ Learn more https://graph.openaire.eu/docs/cloud-access/
#OpenScience #OpenData #BigQuery #ScholarlyComms #ResearchMetrics
The authors show that European collaboration networks ๐ช๐บ remain strongly clustered, largely along geographical and historical lines:
https://doi.org/10.1007/s11192-025-05499-5
While the total volume of international collaboration has grown exponentially, cross-cluster collaboration remains below expectations, even after major EU policy initiatives such as the European Research Area.
#Scientometrics #Collaboration #SciencePolicy #OpenAlex #OpenScience
The study explores a dynamic co-authorship network among European countries between 1990 and 2023 that arose from an interplay of geographical, linguistic, and historical factors which influenced the scientific collaboration. In the analysis, bibliometric data from OpenAlex are used in Indirect Blockmodeling (IB) and Dynamic Stochastic Blockmodeling (DSBM) to examine patterns in three critical periods: rise of the Internet (1994โ2003), enlargement of the EU (2004โ2013), and the European Research Area (ERA) initiatives (2014โ2023). The findings reveal exponential growth in the number of co-authored publications, an overall increase in intra-cluster collaboration, notably in the Balkan, Scandinavian, and Western clusters, coupled with persistent regional disparities. Despite EU policy interventions, collaborations between Western and non-Western regions remain limited. The study shows the need for targeted measures to ensure scientific networks across Europe are more inclusive and balanced.
#Scientometrics & #Bibliometrics researchers!
Did you know the #OpenAIREGraph dataset is publicly accessible on #GoogleCloud #BigQuery, with full tutorials & use-cases available?
Ready for you to explore, analyse, and discover insights!
โ
Query millions of publications, datasets, software, projects & their relationships
โ
Build custom analytics
โ
Track research impact & collaboration networks
Visit https://graph.openaire.eu/docs/cloud-access/
#OpenScience #OpenData #BigQuery #ScholarlyComms #ResearchMetrics
Serhii Nazarovets
The OpenAIRE Graph