Indexed in Journament

biodiversity journal

EN

Certificate of Indexing
Login or register to claim ownership or editorship of this journal.
31.7 / 100
Journament Score
Poor
Ranked #13,271 of 29,297 scored journals (34,016 indexed)
1 Articles
Scores higher than 54.7% 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 biodiversity journal
Abbreviated Name biodiversity journal

Quality Profile

5 of 12 dimensions measured
Engagement 30.6
Timeliness 0.0
Innovation 10.5
Community Impact 5.7
Content Distribution 100.0
This journal Average of scored journals
Platform statistics — the free Journament Score AI Quality Analysis — separate paid product, ranks nothing

7 of the 12 dimensions could not be measured for this journal. They are left out entirely rather than plotted as zero, and with 5 dimensions measured there is not enough of a profile to draw as a shape.

Show the numbers
Dimension This journal Corpus average
Engagement 30.6 30.5
Accessibility — 23.1
Timeliness 0.0 3.0
Diversity — 26.4
Innovation 10.5 24.1
Community Impact 5.7 4.5
Content Distribution 100.0 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 (1)

2011
INTRODUCTION A National park is an area set aside by a national government for the preservation of the natural environment. The World Conservation Union defines a National park as a natural area designated to protect the ecological integrity of one or more ecosystems for present and future generations. In Pakistan, the earlier ecological studies were generally observational. The earlier studies, generally appeared in 1950’s, were confined to visual description of the vegetation, and no attempts were made to recognize community types and to correlate them with the relevant environmental factors. On the contrary, advanced multivariate techniques of ordination and cluster analysis had been routinely used in Europe and other parts of the world. There are numerous ordination methods accessible in plant bionetwork, some of which have been extensively used, e.g. Principal Component Analysis (PCA) and Detrended Correspondence Analysis (DCA) (Hill & Gauch, 1980), whereas some others only sporadically used (Zhang, 2004). A series of studies using different ordination techniques were carried out in Pakistan by Ahmad et al., 2009; Ahmad, 2009; Jabeen & Ahmad, 2009; Pirzada et al., 2009; Ahmad et al., 2010a, b; Ahmad, 2011. In Canonical Correspondence Analysis (CCA) the floristic statistics and the environmental variables can be assimilated within the ordination (Kashian et al., 2003). Within the Ayubia National Park, the study area was the moist temperate forest in Rawalpindi, NE-Pakistan (Fig. 1), showing a high diversity of susceptible plant and animal species. The geographical location of the park is 330° 52' N and 730° 90' E (Farooque, 2002). The aim of this research was to quantify the vegetation in Ayubia National Park using ordination techniques and to determine the soilvegetation relationship to provide basic awareness for preservation of nationally significant native flora. A list of plant species present in the study area is provided in Table 1. Apart from their importance from ecological point of view few species are used as medicinal herbs by local inhabitants. Observed biodiversity of occuring species indicate that this area can be used for conservation of native flora. Exploring the vegetation dynamics and community assemblage in Ayubia National Park, Rawalpindi, Pakistan, using CCA
Ann, Qurat Ul;Ahmad, Sheikh Saeed;
Vol. 2 , No. 3 , pp. 115-120
486 views Abstract
2011
INTRODUCTION A National park is an area set aside by a national government for the preservation of the natural environment. The World Conservation Union defines a National park as a natural area designated to protect the ecological integrity of one or more ecosystems for present and future generations. In Pakistan, the earlier ecological studies were generally observational. The earlier studies, generally appeared in 1950’s, were confined to visual description of the vegetation, and no attempts were made to recognize community types and to correlate them with the relevant environmental factors. On the contrary, advanced multivariate techniques of ordination and cluster analysis had been routinely used in Europe and other parts of the world. There are numerous ordination methods accessible in plant bionetwork, some of which have been extensively used, e.g. Principal Component Analysis (PCA) and Detrended Correspondence Analysis (DCA) (Hill & Gauch, 1980), whereas some others only sporadically used (Zhang, 2004). A series of studies using different ordination techniques were carried out in Pakistan by Ahmad et al., 2009; Ahmad, 2009; Jabeen & Ahmad, 2009; Pirzada et al., 2009; Ahmad et al., 2010a, b; Ahmad, 2011. In Canonical Correspondence Analysis (CCA) the floristic statistics and the environmental variables can be assimilated within the ordination (Kashian et al., 2003). Within the Ayubia National Park, the study area was the moist temperate forest in Rawalpindi, NE-Pakistan (Fig. 1), showing a high diversity of susceptible plant and animal species. The geographical location of the park is 330° 52' N and 730° 90' E (Farooque, 2002). The aim of this research was to quantify the vegetation in Ayubia National Park using ordination techniques and to determine the soilvegetation relationship to provide basic awareness for preservation of nationally significant native flora. A list of plant species present in the study area is provided in Table 1. Apart from their importance from ecological point of view few species are used as medicinal herbs by local inhabitants. Observed biodiversity of occuring species indicate that this area can be used for conservation of native flora. Exploring the vegetation dynamics and community assemblage in Ayubia National Park, Rawalpindi, Pakistan, using CCA
Ann, Qurat Ul;Ahmad, Sheikh Saeed;
Vol. 2 , No. 3 , pp. 115-120
486 views Abstract
Journament Score
31.7/100 · Poor
Ranked #13,271 of 29,297 scored
(34,016 journals indexed)
Platform Statistics
AI Quality Analysis
Separate paid analysis — does not affect ranking.
Journament

Overall Quality Score

31.7/100

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

30.6/100

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

Not yet measured

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

Not yet measured

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

10.5/100

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

5.7/100

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

100.0/100

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.