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jurnal biometrika dan kependudukan

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36.8 / 100
Journament Score
Poor
Ranked #11,180 of 29,341 scored journals (33,995 indexed)
188 Articles
Scores higher than 61.8% of scored journals
050100
The Journament Score is computed from platform statistics — reader engagement, accessibility, publication timeliness, keyword breadth, community impact and content distribution — into a single 0–100 figure, recalculated as new articles and metadata are indexed. Dimensions that cannot be measured for this journal are excluded rather than estimated. It is independent of the paid AI Quality Analysis, which never affects this score or the ranking. Full methodology →

About This Journal

Short Name jurnal biometrika dan kependudukan
Abbreviated Name jurnal biometrika dan kependudukan

Quality Profile

7 of 12 dimensions measured
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

5 of the 12 dimensions could not be measured for this journal. They are left as gaps in the shape rather than plotted as zero.

Show the numbers
Dimension This journal Corpus average
Engagement 30.5 30.1
Accessibility 15.0 17.9
Timeliness 100.0 19.2
Diversity 30.0 28.8
Innovation 40.0 31.2
Community Impact 36.0 13.4
Content Distribution 12.3 88.4
Content Quality — 55.5
Ethics & Transparency — 40.2
Editorial Standards — 33.4
Publication Regularity — 53.2
Geographic Reach — 30.8

Publications Per Year

Articles (188)

2009
Dealing with limited overlap in estimation of average treatment effects
Richard K. Crump, V. Joseph Hotz, Guido W. Imbens, Oscar A. Mitnik
607 views DOI Abstract
2018
Faktor yang Berhubungan dengan Penggunaan Intra Uterine Device (IUD) di Pusat Pelayanan Keluarga Sejahtera (Pusyan Gatra) Tahun 2016
Christiawan, Sarah;Purnomo, Windhu;
Vol. 6 , No. 1 , pp. 79-87
447 views Abstract
2010
The horseshoe estimator for sparse signals
Carla M. Carvalho, Nick Polson, James G. Scott
229 views DOI Abstract
2008
Extended Bayesian information criteria for model selection with large model spaces
Jie Chen, Zehua Chen
209 views DOI Abstract
2007
Model selection and estimation in the Gaussian graphical model
Ming Yuan, Yi Lin
170 views DOI Abstract
2000
The role of the propensity score in estimating dose-response functions
Guido W. Imbens
153 views DOI Abstract
2001
Testing the number of components in a normal mixture
Yungtai Lo, Nancy R. Mendell, Donald B. Rubin
120 views DOI Abstract
2000
A new family of power transformations to improve normality or symmetry
In-Kwon Yeo
109 views DOI Abstract
2007
Tuning parameter selectors for the smoothly clipped absolute deviation method
Hansheng Wang, Runze Li, C.-L. Tsai
81 views DOI Abstract
2006
Adaptive linear step-up procedures that control the false discovery rate
Yoav Benjamini, Abba Μ. Krieger, Daniel Yekutieli
75 views DOI Abstract
2026
Tight differencing in spectral density estimation with centrosymmetric kernels
Y Wang, K W Chan
3 views DOI Abstract
2026
Optimal Watermark Generation under Type I and Type II Errors
Hengzhi He, Shirong Xu, Alexander Nemecek, J. Li, Erman Ayday, Guang Cheng
7 views DOI Abstract
2026
Aggregating conformal prediction sets via 𝜶-allocation
Congbin Xu, Yue Yu, Zhaojun Wang, Changliang Zou, Haojie Ren
31 views DOI Abstract
2026
Convergence and Optimality of the EM Algorithm Under Multi-Component Gaussian Mixture Models
Xin Bing, Dehan Kong, Bingqing Li
13 views DOI Abstract
2026
Post-reduction inference for confidence sets of models
Heather Battey, Daniel García Rasines, Yanbo Tang
17 views DOI Abstract
2026
Integral Probability Metric-Guided CUSUM-Net for Nonparametric Changepoint Detection
Yunchen Li, G Wang, Shuntuo Xu, Y Q Zhou
28 views DOI Abstract
2026
Asymmetric Penalties Underlie Proper Loss Functions in Probabilistic Forecasting
Erez Buchweitz, João Vitor Romano, Ryan J. Tibshirani
22 views DOI Abstract
2026
Log-Gaussian Cox process on general metric graphs
David Bolin, Damilya Saduakhas, Alexandre B. Simas
14 views DOI Abstract
2026
Identify the source of spikes: factor or mixture?
Zeqin Lin, Ying Liu, Guangming Pan, Chi Yao, Jia Zhou
27 views DOI Abstract
2026
On the inverse of covariance matrices for unbalanced crossed designs
Ziyang Lyu, Scott A. Sisson, A. H. Welsh
27 views DOI Abstract
Journament Score
36.8/100 · Poor
Ranked #11,180 of 29,341 scored
(33,995 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

36.8/100

Tier: Poor

The Journament Overall Quality Score is a comprehensive metric that evaluates academic journals across multiple dimensions including engagement, accessibility, diversity, innovation, and community impact.

This score helps researchers, institutions, and publishers understand the holistic quality and impact of a journal beyond traditional metrics.

Engagement Score

30.5/100

Measures user interactions, views, citations, and community involvement with this journal's content.

Higher engagement scores indicate that the journal's content is actively being read, cited, and discussed within the academic community.

Accessibility Score

15.0/100

Evaluates how easily researchers can access journal content, including open access availability, ISSN registration, and indexing.

This metric considers factors such as paywalls, open access policies, and availability across different academic databases and search engines.

Diversity Score

30.0/100

Assesses geographic and institutional diversity of authors, editorial board composition, and topic breadth.

A diverse journal publishes work from various geographic regions, institutions, and covers a broad range of topics within its field.

Innovation Score

40.0/100

Evaluates research novelty, interdisciplinary work, and emerging topics based on AI analysis of article abstracts.

This score reflects how much the journal publishes cutting-edge research, explores new methodologies, and bridges different academic disciplines.

Community Impact Score

36.0/100

Measures scholarly contribution and real-world applications of published research.

This metric evaluates how the journal's research translates into practical applications, policy changes, and benefits to society beyond academia.

Timeliness Score

100.0/100

Evaluates recent publication activity, publication frequency, and currency of research topics.

Higher scores indicate consistent publishing schedules and timely coverage of current research trends.

Content Distribution

12.3/100

Measures how evenly reader attention spreads across the journal's articles, using the Gini coefficient of article clicks.

Higher scores mean readership is distributed across many articles rather than concentrated on one or two.

Ethics & Transparency Score

Not yet measured

Research Integrity (10% weight)

Assesses COPE standards compliance, ethical considerations in research, transparency in methodologies, and reproducibility practices.

This metric ensures the journal maintains high ethical standards and promotes transparent, trustworthy research.

Content Quality Score

Not yet measured

Academic Rigor (20% weight) + Methodology Quality (12%)

Evaluates research methodology soundness, statistical rigor, theoretical framework strength, appropriateness of research methods, data quality, and clarity & readability.

This comprehensive metric ensures published research meets the highest academic standards.

Editorial Diversity Score

Not yet measured

Author Diversity + Interdisciplinary Value (8%)

Measures geographic diversity of authors, institutional variety, editorial board composition, and cross-disciplinary connections.

Diverse editorial teams bring varied perspectives and reduce bias in academic publishing.

Publication Regularity Score

Not yet measured

Assesses consistency of publication schedule, frequency stability, and predictable output patterns.

Regular publication schedules indicate reliable journal operations and consistent workflow management.

Geographic Reach Score

Not yet measured

Evaluates international author representation, global readership distribution, and cross-border research collaboration.

Wide geographic reach indicates global impact and international recognition of the journal's research.