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Computational biology and chemistry

ISSN 1476-928X· EN

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34.2 / 100
Journament Score
Poor
Ranked #10,052 of 29,297 scored journals (34,016 indexed)
46 Articles
Scores higher than 65.6% 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 Comput Biol Chem
Abbreviated Name comput biol chem
ISSN 1476-928X
URL http://www.journals.elsevier.com/computational-biology-and-chemistry

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 30.9 30.5
Accessibility 20.0 23.1
Timeliness 0.0 3.0
Diversity 31.5 26.2
Innovation 70.0 24.1
Community Impact 7.9 4.7
Content Distribution 72.1 89.3
Content Quality — 55.1
Ethics & Transparency — 40.5
Editorial Standards — 33.0
Publication Regularity — 52.9
Geographic Reach — 30.4

Publications Per Year

Articles (46)

2019
Anticancer SAR establishment and novel accruing signal transduction model of drug action using biscoumarin scaffold.
Mayank, ;Singh, Ashutosh;Kaur, Navneet;Garg, Neha;Singh, Narinder;
Vol. 83 , pp. 107104
542 views DOI Abstract
2017
innovative 3d model of the human middle ear in high resolution with a histological microgrinding method: a feasibility study and comparison with μct
;Susanne Bradel;Laura Doniga-Crivat;Silke Besdo;Franziska Lexow;Michael Fehr;Thomas Lenarz;Nils Prenzler;Gudrun Brandes
Vol. 2017 , pp. -
486 views DOI Abstract
2019
Evaluation of drug candidature: In silico ADMET, binding interactions with CDK7 and normal cell line studies of potentially anti-breast cancer enamidines.
Bansode, Prakash;Anantacharya, R;Dhanavade, Maruti;Kamble, Subodh;Barale, Sagar;Sonawane, Kailas;Satyanarayan, Nayak D;Rashinkar, Gajanan;
Vol. 83 , pp. 107124
484 views DOI Abstract
2019
Synthesis, computational quantum chemical study, in silico ADMET and molecular docking analysis, in vitro biological evaluation of a novel sulfur heterocyclic thiophene derivative containing 1,2,3-triazole and pyridine moieties as a potential human topoisomerase IIα inhibiting anticancer agent
Murugavel, S.
Vol. 79 , pp. 73-82
477 views DOI
2019
Predictive biomarkers of colorectal cancer.
Ding, Di;Han, Siyu;Zhang, Hui;He, Ye;Li, Ying;
Vol. 83 , pp. 107106
469 views DOI Abstract
2003
Application of computer algebra-techniques to metabolic control analysis.
Bayram, Mustafa;Celik, Ercan;
Vol. 27 , No. 2 , pp. 141-6
454 views Abstract
2019
Multi-targeted potential of Pittosporum senacia Putt.: HPLC-ESI-MS analysis, in silico docking, DNA protection, antimicrobial, enzyme inhibition, anti-cancer and apoptotic activity.
Mahomoodally, Mohamad Fawzi;Picot-Allain, Carene;Hosenally, M;Ugurlu, Asli;Mollica, Adriano;Stefanucci, Azzurra;Llorent-Martínez, E J;Baloglu, Mehmet Cengiz;Zengin, Gokhan;
Vol. 83 , pp. 107114
436 views DOI Abstract
2019
In silico identification of natural products with anticancer activity using a chemo-structural database of Brazilian biodiversity.
Galúcio, João Marcos;Monteiro, Elton Figueira;de Jesus, Deivid Almeida;Costa, Clauber Henrique;Siqueira, Raissa Caroline;Santos, Gabriela Bianchi Dos;Lameira, Jerônimo;Costa, Kauê Santana da;
Vol. 83 , pp. 107102
417 views DOI Abstract
2019
In silico structural and functional characterization and phylogenetic study of alkaline phosphatase in bacterium, Rhizobium leguminosarum (Frank 1879).
Yousafi, Qudsia;Kanwal, Saba;Rashid, Hamid;Khan, Muhammad Saad;Saleem, Shahzad;Aslam, Muhammad;
Vol. 83 , pp. 107142
403 views DOI Abstract
2019
Protein secondary structure prediction using neural networks and deep learning: A review.
Wardah, Wafaa;Khan, M G M;Sharma, Alok;Rashid, Mahmood A;
Vol. 81 , pp. 1-8
390 views DOI Abstract
2020
friedman score in relation to compliance and treatment response in nonsevere obstructive sleep apnea
;Lars M. Berg;Torun K. S. Ankjell;Yi-Qian Sun;Tordis A. Trovik;Anders Sjögren;Oddveig G. Rikardsen;Ketil Moen;Sølve Hellem;Vegard Bugten
Vol. 2020 , pp. -
223 views DOI Abstract
2020
Site mapping and small molecule blind docking reveal a possible target site on the SARS-CoV-2 main protease dimer interface.
Liang, Julia;Karagiannis, Chris;Pitsillou, Eleni;Darmawan, Kevion K;Ng, Ken;Hung, Andrew;Karagiannis, Tom C;
Vol. 89 , pp. 107372
250 views DOI Abstract
2020
CWLy-SVM: A support vector machine-based tool for identifying cell wall lytic enzymes
Meng, C.
Vol. 87 , pp. 0-0
238 views DOI
2020
Intelligent system based on data mining techniques for prediction of preterm birth for women with cervical cerclage.
Rawashdeh, Hasan;Awawdeh, Shatha;Shannag, Fatima;Henawi, Esraa;Faris, Hossam;Obeid, Nadim;Hyett, Jon;
Vol. 85 , pp. 107233
376 views DOI Abstract
2020
conLSH: Context based Locality Sensitive Hashing for mapping of noisy SMRT reads.
Chakraborty, Angana;Bandyopadhyay, Sanghamitra;
Vol. 85 , pp. 107206
375 views DOI Abstract
2020
Discovering protein-binding RNA motifs with a generative model of RNA sequences.
Park, Byungkyu;Han, Kyungsook;
Vol. 84 , pp. 107171
355 views DOI Abstract
2019
In silico structural and functional characterization and phylogenetic study of alkaline phosphatase in bacterium, Rhizobium leguminosarum (Frank 1879).
Yousafi, Qudsia;Kanwal, Saba;Rashid, Hamid;Khan, Muhammad Saad;Saleem, Shahzad;Aslam, Muhammad;
Vol. 83 , pp. 107142
403 views DOI Abstract
2019
Structural, functional, and evolutionary analysis of late embryogenesis abundant proteins (LEA) in Triticum aestivum: A detailed molecular level biochemistry using in silico approach
Bhattacharya, S.
Vol. 82 , pp. 9-24
369 views DOI
2019
Synthesis, computational quantum chemical study, in silico ADMET and molecular docking analysis, in vitro biological evaluation of a novel sulfur heterocyclic thiophene derivative containing 1,2,3-triazole and pyridine moieties as a potential human topoisomerase IIα inhibiting anticancer agent
Murugavel, S.
Vol. 79 , pp. 73-82
477 views DOI
2019
Evaluation of drug candidature: In silico ADMET, binding interactions with CDK7 and normal cell line studies of potentially anti-breast cancer enamidines.
Bansode, Prakash;Anantacharya, R;Dhanavade, Maruti;Kamble, Subodh;Barale, Sagar;Sonawane, Kailas;Satyanarayan, Nayak D;Rashinkar, Gajanan;
Vol. 83 , pp. 107124
484 views DOI Abstract
Journament Score
34.2/100 · Poor
Ranked #10,052 of 29,297 scored
(34,016 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

34.2/100

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

30.9/100

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

20.0/100

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

31.5/100

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

70.0/100

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

7.9/100

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

0.0/100

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

72.1/100

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.