Analysis of the Significant Difference in Fishing Gear Used According to Income Levels of Fisherfolks Article Swipe
GANAPIN, JHEMIMA M
,
ESPINOCILLA, EULIE GAY N
,
WALLACE, DECEMA B
,
DANIEL, ROSEMARIE V
·
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17719659
YOU?
·
· 2025
· Open Access
·
· DOI: https://doi.org/10.5281/zenodo.17719659
Fishing serves as one of the vital livelihood for communities in Diadi, Nueva Vizcaya, providing both income and food security. This study examined the significant difference in fishing gear used according to income levels of fisherfolks. Specifically, it described the demographic profile of respondents, identified the types of fishing gear they employ, quantified their income, and determined whether significant differences exist in fishing gear used according to the income level. A descriptive research design was employed, and 82 actively engaged fisherfolks were purposively sampled. Data were collected through structured questionnaires and analyzed using frequency, percentage, mean, and the Kruskal–Wallis test to determine significant differences. Results showed that most respondents were older than 41 years and had long-term fishing experience exceeding 16 years, though participation in training and seminars was limited. Gill nets (“sigay”) and fyke nets (“banwar”) were the most commonly used gears, while higher-income fisherfolks tended to use multiple and more diversified gear types, such as seine nets (“karudkod”) and cast nets (“tabukol”). Income analysis revealed that 72% of respondents earned between ₱10,000 and ₱50,000. The study found a significant difference in fishing gear used when grouped according to income levels, indicating that gear diversity and selection influence income potential. These findings highlight the need for interventions that improve access to diverse fishing gear and provide training to enhance productivity and livelihood outcomes among fisherfolks in Diadi, Nueva Vizcaya.
Related Topics
Concepts
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.5281/zenodo.17719659
- OA Status
- green
- OpenAlex ID
- https://openalex.org/W7106843185
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
-
https://openalex.org/W7106843185Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.5281/zenodo.17719659Digital Object Identifier
- Title
-
Analysis of the Significant Difference in Fishing Gear Used According to Income Levels of FisherfolksWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2025Year of publication
- Publication date
-
2025-11-30Full publication date if available
- Authors
-
GANAPIN, JHEMIMA M, ESPINOCILLA, EULIE GAY N, WALLACE, DECEMA B, DANIEL, ROSEMARIE VList of authors in order
- Landing page
-
https://doi.org/10.5281/zenodo.17719659Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
greenOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.5281/zenodo.17719659Direct OA link when available
- Concepts
-
Fishing, Livelihood, Productivity, Significant difference, Descriptive statistics, Diversity (politics), Socioeconomics, Business, Household income, Fishery, Demographic profile, Net income, Geography, Demographic economics, Family income, Psychological intervention, Economics, Socioeconomic statusTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
0Total citation count in OpenAlex
Full payload
| id | https://openalex.org/W7106843185 |
|---|---|
| doi | https://doi.org/10.5281/zenodo.17719659 |
| ids.openalex | https://openalex.org/W7106843185 |
| fwci | 0.0 |
| type | article |
| title | Analysis of the Significant Difference in Fishing Gear Used According to Income Levels of Fisherfolks |
| biblio.issue | |
| biblio.volume | |
| biblio.last_page | |
| biblio.first_page | |
| topics[0].id | https://openalex.org/T11088 |
| topics[0].field.id | https://openalex.org/fields/23 |
| topics[0].field.display_name | Environmental Science |
| topics[0].score | 0.3180526793003082 |
| topics[0].domain.id | https://openalex.org/domains/3 |
| topics[0].domain.display_name | Physical Sciences |
| topics[0].subfield.id | https://openalex.org/subfields/2306 |
| topics[0].subfield.display_name | Global and Planetary Change |
| topics[0].display_name | Marine Bivalve and Aquaculture Studies |
| topics[1].id | https://openalex.org/T14405 |
| topics[1].field.id | https://openalex.org/fields/11 |
| topics[1].field.display_name | Agricultural and Biological Sciences |
| topics[1].score | 0.05275923013687134 |
| topics[1].domain.id | https://openalex.org/domains/1 |
| topics[1].domain.display_name | Life Sciences |
| topics[1].subfield.id | https://openalex.org/subfields/1100 |
| topics[1].subfield.display_name | General Agricultural and Biological Sciences |
| topics[1].display_name | Fisheries and Aquaculture Studies |
| topics[2].id | https://openalex.org/T13485 |
| topics[2].field.id | https://openalex.org/fields/23 |
| topics[2].field.display_name | Environmental Science |
| topics[2].score | 0.04005016013979912 |
| topics[2].domain.id | https://openalex.org/domains/3 |
| topics[2].domain.display_name | Physical Sciences |
| topics[2].subfield.id | https://openalex.org/subfields/2303 |
| topics[2].subfield.display_name | Ecology |
| topics[2].display_name | Marine and Coastal Ecosystems |
| is_xpac | False |
| apc_list | |
| apc_paid | |
| concepts[0].id | https://openalex.org/C514101110 |
| concepts[0].level | 2 |
| concepts[0].score | 0.8286077380180359 |
| concepts[0].wikidata | https://www.wikidata.org/wiki/Q14373 |
| concepts[0].display_name | Fishing |
| concepts[1].id | https://openalex.org/C3987366 |
| concepts[1].level | 3 |
| concepts[1].score | 0.7640059590339661 |
| concepts[1].wikidata | https://www.wikidata.org/wiki/Q6658164 |
| concepts[1].display_name | Livelihood |
| concepts[2].id | https://openalex.org/C204983608 |
| concepts[2].level | 2 |
| concepts[2].score | 0.5236013531684875 |
| concepts[2].wikidata | https://www.wikidata.org/wiki/Q2111958 |
| concepts[2].display_name | Productivity |
| concepts[3].id | https://openalex.org/C3018023364 |
| concepts[3].level | 2 |
| concepts[3].score | 0.42899253964424133 |
| concepts[3].wikidata | https://www.wikidata.org/wiki/Q425265 |
| concepts[3].display_name | Significant difference |
| concepts[4].id | https://openalex.org/C39896193 |
| concepts[4].level | 2 |
| concepts[4].score | 0.41044414043426514 |
| concepts[4].wikidata | https://www.wikidata.org/wiki/Q380344 |
| concepts[4].display_name | Descriptive statistics |
| concepts[5].id | https://openalex.org/C2781316041 |
| concepts[5].level | 2 |
| concepts[5].score | 0.4073859453201294 |
| concepts[5].wikidata | https://www.wikidata.org/wiki/Q1230584 |
| concepts[5].display_name | Diversity (politics) |
| concepts[6].id | https://openalex.org/C45355965 |
| concepts[6].level | 1 |
| concepts[6].score | 0.36434778571128845 |
| concepts[6].wikidata | https://www.wikidata.org/wiki/Q1643441 |
| concepts[6].display_name | Socioeconomics |
| concepts[7].id | https://openalex.org/C144133560 |
| concepts[7].level | 0 |
| concepts[7].score | 0.3590157628059387 |
| concepts[7].wikidata | https://www.wikidata.org/wiki/Q4830453 |
| concepts[7].display_name | Business |
| concepts[8].id | https://openalex.org/C2780892066 |
| concepts[8].level | 2 |
| concepts[8].score | 0.32420751452445984 |
| concepts[8].wikidata | https://www.wikidata.org/wiki/Q1591167 |
| concepts[8].display_name | Household income |
| concepts[9].id | https://openalex.org/C505870484 |
| concepts[9].level | 1 |
| concepts[9].score | 0.3185044825077057 |
| concepts[9].wikidata | https://www.wikidata.org/wiki/Q180538 |
| concepts[9].display_name | Fishery |
| concepts[10].id | https://openalex.org/C152771951 |
| concepts[10].level | 3 |
| concepts[10].score | 0.3162362277507782 |
| concepts[10].wikidata | https://www.wikidata.org/wiki/Q5932254 |
| concepts[10].display_name | Demographic profile |
| concepts[11].id | https://openalex.org/C138262166 |
| concepts[11].level | 2 |
| concepts[11].score | 0.28422850370407104 |
| concepts[11].wikidata | https://www.wikidata.org/wiki/Q570938 |
| concepts[11].display_name | Net income |
| concepts[12].id | https://openalex.org/C205649164 |
| concepts[12].level | 0 |
| concepts[12].score | 0.2815287709236145 |
| concepts[12].wikidata | https://www.wikidata.org/wiki/Q1071 |
| concepts[12].display_name | Geography |
| concepts[13].id | https://openalex.org/C4249254 |
| concepts[13].level | 1 |
| concepts[13].score | 0.27971234917640686 |
| concepts[13].wikidata | https://www.wikidata.org/wiki/Q3044431 |
| concepts[13].display_name | Demographic economics |
| concepts[14].id | https://openalex.org/C2777101753 |
| concepts[14].level | 2 |
| concepts[14].score | 0.270940363407135 |
| concepts[14].wikidata | https://www.wikidata.org/wiki/Q5433336 |
| concepts[14].display_name | Family income |
| concepts[15].id | https://openalex.org/C27415008 |
| concepts[15].level | 2 |
| concepts[15].score | 0.2685815393924713 |
| concepts[15].wikidata | https://www.wikidata.org/wiki/Q7256382 |
| concepts[15].display_name | Psychological intervention |
| concepts[16].id | https://openalex.org/C162324750 |
| concepts[16].level | 0 |
| concepts[16].score | 0.2566414773464203 |
| concepts[16].wikidata | https://www.wikidata.org/wiki/Q8134 |
| concepts[16].display_name | Economics |
| concepts[17].id | https://openalex.org/C147077947 |
| concepts[17].level | 3 |
| concepts[17].score | 0.25044816732406616 |
| concepts[17].wikidata | https://www.wikidata.org/wiki/Q1515895 |
| concepts[17].display_name | Socioeconomic status |
| keywords[0].id | https://openalex.org/keywords/fishing |
| keywords[0].score | 0.8286077380180359 |
| keywords[0].display_name | Fishing |
| keywords[1].id | https://openalex.org/keywords/livelihood |
| keywords[1].score | 0.7640059590339661 |
| keywords[1].display_name | Livelihood |
| keywords[2].id | https://openalex.org/keywords/productivity |
| keywords[2].score | 0.5236013531684875 |
| keywords[2].display_name | Productivity |
| keywords[3].id | https://openalex.org/keywords/significant-difference |
| keywords[3].score | 0.42899253964424133 |
| keywords[3].display_name | Significant difference |
| keywords[4].id | https://openalex.org/keywords/descriptive-statistics |
| keywords[4].score | 0.41044414043426514 |
| keywords[4].display_name | Descriptive statistics |
| keywords[5].id | https://openalex.org/keywords/diversity |
| keywords[5].score | 0.4073859453201294 |
| keywords[5].display_name | Diversity (politics) |
| language | en |
| locations[0].id | pmh:oai:zenodo.org:17719659 |
| locations[0].is_oa | True |
| locations[0].source.id | https://openalex.org/S4306400562 |
| locations[0].source.issn | |
| locations[0].source.type | repository |
| locations[0].source.is_oa | True |
| locations[0].source.issn_l | |
| locations[0].source.is_core | False |
| locations[0].source.is_in_doaj | False |
| locations[0].source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| locations[0].source.host_organization | https://openalex.org/I67311998 |
| locations[0].source.host_organization_name | European Organization for Nuclear Research |
| locations[0].source.host_organization_lineage | https://openalex.org/I67311998 |
| locations[0].license | cc-by |
| locations[0].pdf_url | |
| locations[0].version | submittedVersion |
| locations[0].raw_type | info:eu-repo/semantics/article |
| locations[0].license_id | https://openalex.org/licenses/cc-by |
| locations[0].is_accepted | False |
| locations[0].is_published | False |
| locations[0].raw_source_name | International Journal of Science and Research Archive, 17(2), 509-512, (2025-11-30) |
| locations[0].landing_page_url | https://doi.org/10.5281/zenodo.17719659 |
| authorships[0].author.id | |
| authorships[0].author.orcid | |
| authorships[0].author.display_name | GANAPIN, JHEMIMA M |
| authorships[0].author_position | first |
| authorships[0].raw_author_name | GANAPIN, JHEMIMA M |
| authorships[0].is_corresponding | True |
| authorships[1].author.id | |
| authorships[1].author.orcid | |
| authorships[1].author.display_name | ESPINOCILLA, EULIE GAY N |
| authorships[1].author_position | middle |
| authorships[1].raw_author_name | ESPINOCILLA, EULIE GAY N |
| authorships[1].is_corresponding | False |
| authorships[2].author.id | |
| authorships[2].author.orcid | |
| authorships[2].author.display_name | WALLACE, DECEMA B |
| authorships[2].author_position | middle |
| authorships[2].raw_author_name | WALLACE, DECEMA B |
| authorships[2].is_corresponding | False |
| authorships[3].author.id | |
| authorships[3].author.orcid | |
| authorships[3].author.display_name | DANIEL, ROSEMARIE V |
| authorships[3].author_position | last |
| authorships[3].raw_author_name | DANIEL, ROSEMARIE V |
| authorships[3].is_corresponding | False |
| has_content.pdf | False |
| has_content.grobid_xml | False |
| is_paratext | False |
| open_access.is_oa | True |
| open_access.oa_url | https://doi.org/10.5281/zenodo.17719659 |
| open_access.oa_status | green |
| open_access.any_repository_has_fulltext | False |
| created_date | 2025-11-28T00:00:00 |
| display_name | Analysis of the Significant Difference in Fishing Gear Used According to Income Levels of Fisherfolks |
| has_fulltext | False |
| is_retracted | False |
| updated_date | 2025-11-28T23:14:17.795251 |
| primary_topic.id | https://openalex.org/T11088 |
| primary_topic.field.id | https://openalex.org/fields/23 |
| primary_topic.field.display_name | Environmental Science |
| primary_topic.score | 0.3180526793003082 |
| primary_topic.domain.id | https://openalex.org/domains/3 |
| primary_topic.domain.display_name | Physical Sciences |
| primary_topic.subfield.id | https://openalex.org/subfields/2306 |
| primary_topic.subfield.display_name | Global and Planetary Change |
| primary_topic.display_name | Marine Bivalve and Aquaculture Studies |
| cited_by_count | 0 |
| locations_count | 1 |
| best_oa_location.id | pmh:oai:zenodo.org:17719659 |
| best_oa_location.is_oa | True |
| best_oa_location.source.id | https://openalex.org/S4306400562 |
| best_oa_location.source.issn | |
| best_oa_location.source.type | repository |
| best_oa_location.source.is_oa | True |
| best_oa_location.source.issn_l | |
| best_oa_location.source.is_core | False |
| best_oa_location.source.is_in_doaj | False |
| best_oa_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| best_oa_location.source.host_organization | https://openalex.org/I67311998 |
| best_oa_location.source.host_organization_name | European Organization for Nuclear Research |
| best_oa_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| best_oa_location.license | cc-by |
| best_oa_location.pdf_url | |
| best_oa_location.version | submittedVersion |
| best_oa_location.raw_type | info:eu-repo/semantics/article |
| best_oa_location.license_id | https://openalex.org/licenses/cc-by |
| best_oa_location.is_accepted | False |
| best_oa_location.is_published | False |
| best_oa_location.raw_source_name | International Journal of Science and Research Archive, 17(2), 509-512, (2025-11-30) |
| best_oa_location.landing_page_url | https://doi.org/10.5281/zenodo.17719659 |
| primary_location.id | pmh:oai:zenodo.org:17719659 |
| primary_location.is_oa | True |
| primary_location.source.id | https://openalex.org/S4306400562 |
| primary_location.source.issn | |
| primary_location.source.type | repository |
| primary_location.source.is_oa | True |
| primary_location.source.issn_l | |
| primary_location.source.is_core | False |
| primary_location.source.is_in_doaj | False |
| primary_location.source.display_name | Zenodo (CERN European Organization for Nuclear Research) |
| primary_location.source.host_organization | https://openalex.org/I67311998 |
| primary_location.source.host_organization_name | European Organization for Nuclear Research |
| primary_location.source.host_organization_lineage | https://openalex.org/I67311998 |
| primary_location.license | cc-by |
| primary_location.pdf_url | |
| primary_location.version | submittedVersion |
| primary_location.raw_type | info:eu-repo/semantics/article |
| primary_location.license_id | https://openalex.org/licenses/cc-by |
| primary_location.is_accepted | False |
| primary_location.is_published | False |
| primary_location.raw_source_name | International Journal of Science and Research Archive, 17(2), 509-512, (2025-11-30) |
| primary_location.landing_page_url | https://doi.org/10.5281/zenodo.17719659 |
| publication_date | 2025-11-30 |
| publication_year | 2025 |
| referenced_works_count | 0 |
| abstract_inverted_index.A | 70 |
| abstract_inverted_index.a | 179 |
| abstract_inverted_index.16 | 120 |
| abstract_inverted_index.41 | 112 |
| abstract_inverted_index.82 | 77 |
| abstract_inverted_index.as | 2, 156 |
| abstract_inverted_index.in | 10, 26, 61, 124, 182, 226 |
| abstract_inverted_index.it | 37 |
| abstract_inverted_index.of | 4, 34, 42, 47, 169 |
| abstract_inverted_index.to | 31, 66, 100, 147, 189, 211, 218 |
| abstract_inverted_index.72% | 168 |
| abstract_inverted_index.The | 176 |
| abstract_inverted_index.and | 17, 55, 76, 90, 96, 114, 126, 133, 150, 160, 174, 196, 215, 221 |
| abstract_inverted_index.for | 8, 206 |
| abstract_inverted_index.had | 115 |
| abstract_inverted_index.one | 3 |
| abstract_inverted_index.the | 5, 23, 39, 45, 67, 97, 138, 204 |
| abstract_inverted_index.use | 148 |
| abstract_inverted_index.was | 74, 128 |
| abstract_inverted_index.Data | 84 |
| abstract_inverted_index.Gill | 130 |
| abstract_inverted_index.This | 20 |
| abstract_inverted_index.both | 15 |
| abstract_inverted_index.cast | 161 |
| abstract_inverted_index.food | 18 |
| abstract_inverted_index.fyke | 134 |
| abstract_inverted_index.gear | 28, 49, 63, 153, 184, 194, 214 |
| abstract_inverted_index.more | 151 |
| abstract_inverted_index.most | 107, 139 |
| abstract_inverted_index.need | 205 |
| abstract_inverted_index.nets | 131, 135, 158, 162 |
| abstract_inverted_index.such | 155 |
| abstract_inverted_index.test | 99 |
| abstract_inverted_index.than | 111 |
| abstract_inverted_index.that | 106, 167, 193, 208 |
| abstract_inverted_index.they | 50 |
| abstract_inverted_index.used | 29, 64, 141, 185 |
| abstract_inverted_index.were | 81, 85, 109, 137 |
| abstract_inverted_index.when | 186 |
| abstract_inverted_index.Nueva | 12, 228 |
| abstract_inverted_index.These | 201 |
| abstract_inverted_index.among | 224 |
| abstract_inverted_index.exist | 60 |
| abstract_inverted_index.found | 178 |
| abstract_inverted_index.mean, | 95 |
| abstract_inverted_index.older | 110 |
| abstract_inverted_index.seine | 157 |
| abstract_inverted_index.study | 21, 177 |
| abstract_inverted_index.their | 53 |
| abstract_inverted_index.types | 46 |
| abstract_inverted_index.using | 92 |
| abstract_inverted_index.vital | 6 |
| abstract_inverted_index.while | 143 |
| abstract_inverted_index.years | 113 |
| abstract_inverted_index.Diadi, | 11, 227 |
| abstract_inverted_index.Income | 164 |
| abstract_inverted_index.access | 210 |
| abstract_inverted_index.design | 73 |
| abstract_inverted_index.earned | 171 |
| abstract_inverted_index.gears, | 142 |
| abstract_inverted_index.income | 16, 32, 68, 190, 199 |
| abstract_inverted_index.level. | 69 |
| abstract_inverted_index.levels | 33 |
| abstract_inverted_index.serves | 1 |
| abstract_inverted_index.showed | 105 |
| abstract_inverted_index.tended | 146 |
| abstract_inverted_index.though | 122 |
| abstract_inverted_index.types, | 154 |
| abstract_inverted_index.years, | 121 |
| abstract_inverted_index.Results | 104 |
| abstract_inverted_index.between | 172 |
| abstract_inverted_index.diverse | 212 |
| abstract_inverted_index.employ, | 51 |
| abstract_inverted_index.engaged | 79 |
| abstract_inverted_index.enhance | 219 |
| abstract_inverted_index.fishing | 27, 48, 62, 117, 183, 213 |
| abstract_inverted_index.grouped | 187 |
| abstract_inverted_index.improve | 209 |
| abstract_inverted_index.income, | 54 |
| abstract_inverted_index.levels, | 191 |
| abstract_inverted_index.profile | 41 |
| abstract_inverted_index.provide | 216 |
| abstract_inverted_index.through | 87 |
| abstract_inverted_index.whether | 57 |
| abstract_inverted_index.Vizcaya, | 13 |
| abstract_inverted_index.actively | 78 |
| abstract_inverted_index.analysis | 165 |
| abstract_inverted_index.analyzed | 91 |
| abstract_inverted_index.commonly | 140 |
| abstract_inverted_index.examined | 22 |
| abstract_inverted_index.findings | 202 |
| abstract_inverted_index.limited. | 129 |
| abstract_inverted_index.multiple | 149 |
| abstract_inverted_index.outcomes | 223 |
| abstract_inverted_index.research | 72 |
| abstract_inverted_index.revealed | 166 |
| abstract_inverted_index.sampled. | 83 |
| abstract_inverted_index.seminars | 127 |
| abstract_inverted_index.training | 125, 217 |
| abstract_inverted_index.according | 30, 65, 188 |
| abstract_inverted_index.collected | 86 |
| abstract_inverted_index.described | 38 |
| abstract_inverted_index.determine | 101 |
| abstract_inverted_index.diversity | 195 |
| abstract_inverted_index.employed, | 75 |
| abstract_inverted_index.exceeding | 119 |
| abstract_inverted_index.highlight | 203 |
| abstract_inverted_index.influence | 198 |
| abstract_inverted_index.long-term | 116 |
| abstract_inverted_index.providing | 14 |
| abstract_inverted_index.security. | 19 |
| abstract_inverted_index.selection | 197 |
| abstract_inverted_index.₱10,000 | 173 |
| abstract_inverted_index.determined | 56 |
| abstract_inverted_index.difference | 25, 181 |
| abstract_inverted_index.experience | 118 |
| abstract_inverted_index.frequency, | 93 |
| abstract_inverted_index.identified | 44 |
| abstract_inverted_index.indicating | 192 |
| abstract_inverted_index.livelihood | 7, 222 |
| abstract_inverted_index.potential. | 200 |
| abstract_inverted_index.quantified | 52 |
| abstract_inverted_index.structured | 88 |
| abstract_inverted_index.₱50,000. | 175 |
| abstract_inverted_index.communities | 9 |
| abstract_inverted_index.demographic | 40 |
| abstract_inverted_index.descriptive | 71 |
| abstract_inverted_index.differences | 59 |
| abstract_inverted_index.diversified | 152 |
| abstract_inverted_index.fisherfolks | 80, 145, 225 |
| abstract_inverted_index.percentage, | 94 |
| abstract_inverted_index.purposively | 82 |
| abstract_inverted_index.respondents | 108, 170 |
| abstract_inverted_index.significant | 24, 58, 102, 180 |
| abstract_inverted_index.differences. | 103 |
| abstract_inverted_index.fisherfolks. | 35 |
| abstract_inverted_index.productivity | 220 |
| abstract_inverted_index.respondents, | 43 |
| abstract_inverted_index.Specifically, | 36 |
| abstract_inverted_index.higher-income | 144 |
| abstract_inverted_index.interventions | 207 |
| abstract_inverted_index.participation | 123 |
| abstract_inverted_index.questionnaires | 89 |
| abstract_inverted_index.<p>Fishing | 0 |
| abstract_inverted_index.Vizcaya.</p> | 229 |
| abstract_inverted_index.Kruskal–Wallis | 98 |
| abstract_inverted_index.(“sigay”) | 132 |
| abstract_inverted_index.(“banwar”) | 136 |
| abstract_inverted_index.(“karudkod”) | 159 |
| abstract_inverted_index.(“tabukol”). | 163 |
| cited_by_percentile_year | |
| countries_distinct_count | 0 |
| institutions_distinct_count | 4 |
| citation_normalized_percentile.value | 0.76375284 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |