A century of peer-reviewed Australian Zoological Research: Prominent authors, themes and usage of papers from Australian Zoologist
Bibliographic record
Abstract
The peer-reviewed Australian Zoologist, first published in 1914, is Australia’s longest-lived zoological journal. Its publication history shows changes in the zoological topics covered over the last 100 years, including the animals studied, characteristics of the authors and readership, and the influence of the databases used to study the journal on information retrieval. Searches in different databases retrieved different numbers of papers; Scopus (including secondary documents not in the database but cited by documents that are in the database) was the most comprehensive. Although authors from 22 countries contributed papers over the history of the Australian Zoologist, over 90% of authors were Australian. Most international authors came from the USA, the UK, Canada and New Zealand. Approximately two-thirds of authors citing Australian Zoologist were Australian-based, but there were still 10 or more authors from each of thirty-four other countries citing Australian Zoologist: while regional, the journal has an international profile. Highly cited papers in Australian Zoologist had high mean Scopus percentile ranks (20th century 83.9, 21st century 73.7), indicating that in comparison to their fields globally, these papers are used well above average. Considering all papers published in Australian Zoologist, over time the proportion of papers in the categories ‘Biodiversity & Conservation’ and ‘Environmental Sciences & Ecology’ rose significantly, reflecting the increased research in these areas. Between 2013 and 2019, when relevant metrics are available in Scopus, Australian Zoologist declined in no metric measured while improving significantly in CiteScore, Highest Percentile, and % Cited, indicating increasing references to Australian Zoologist papers by other peer-reviewed publications. Between 2010 and 2019, 2.1% of Australian Zoologist papers were ranked within the top 10% in their fields globally, based on citation impact. Authors considering publishing in Australian Zoologist should note that longer papers are acceptable, colour imagery (including photographs) is encouraged, the journal is visible in major databases, it is cited internationally and there are no page charges.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.030 | 0.042 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.025 | 0.088 |
| Science and technology studies | 0.001 | 0.004 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.004 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
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; both teacher heads agree on what is shown here.
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".