Few Journal Article Organizational Structure Characteristics Affect Article Citation Rate: A Look at Agricultural Economics Articles Using Regression Analysis
Bibliographic record
Abstract
When reporting research findings, a journal article’s organizational structure influences whether others can easily assess the published research’s procedures, interpret the results, and synthesize the implications. Organizational structure characteristics include sufficiently explained variables, data format, number of exhibits, and presence of an appendix. This study endeavors to empirically test whether journal article organizational structure influences citation rates. Citations are used for ranking academic fields, evaluating faculty for promotion, and assessing faculty performance for merit-based salary increases. Journal editors desire higher citation rates to enhance journal exposure, and faculty target publishing in journals with higher impact factors, which reflect citation rates. To assess whether journal article organization affects citation rates, this study uses data from a survey of 68 Journal of Agricultural and Resource Economics articles published between 1994 and 1998, and it uses citation rates between February 2010 and the publication date as the dependent variable. These articles were selected because they used regression methods and had all information necessary for this analysis. Using Tobit and truncated ordinary least squares regressions, this study evaluated the marginal effects of variables, including organizational structure characteristics, influencing citation rates. The results indicated a lack of statistical significance for most organizational structure variables affecting citation rates. The use of panel data use and presence of an appendix were the two only organizational structure variables that had significant effects on journal article organizational structure. They had respective positive and negative effects. Thus, little evidence supports that a professional impact, measured as citations, will result from at least this particular journal making efforts to improve article format structure. The current study may motivate future research that replicates the methods and examines other journals and article characteristics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.008 | 0.050 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.002 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".