Effect of Library Advocacy on Mendeley User Adoption and Productivity
Bibliographic record
Abstract
Millions of researchers and students currently use Mendeley.com, a free reference manager and one of the largest academic collaboration networks, to support them in reading, writing, collaboration, and publishing processes. Mendeley is an easy‐to‐use reference management tool with only self‐help online tools available for researchers. However, in the last two years, with its integration with Elsevier, it has made available more varied support resources for new users. It is widely believed to be more effective to provide structured support for early career researchers versus just‐in‐time support for seasoned researchers; and structured support for STEM disciplines versus just‐in‐time for non‐STEM disciplines. This study first defines the baseline differences in user adoption and productivity rates between different disciplines (STEM versus non‐STEM users) and academic statuses (undergraduates, graduates, post‐docs, professors). Then, by applying different library resources (in‐person training sessions, help aid, tutorial video, and on demand support) in selected US institutions, this project attempts to understand the effects of different support resources to eventual user adoption and productivity.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.118 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.005 | 0.005 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.007 | 0.004 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.012 | 0.002 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".