有用性评分项目分布数据集
该数据集包含YouTube上牙龈出血视频的有用性评分项目分布及质量评估数据，共107个视频的统计指标和评分信息。
基本信息
资源简介
有用性评分项目分布数据集
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集，收录 1 个文件、合计 5.63 KB，主题涵盖 time since upload、mann &# 8211、kruskal &# 8211、first 200 results、common dental problem，可用于统计建模、特征工程与队列分析，CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Distribution of the usefulness score items.》。源站首次发布：2024-03-06。
【数据内容】
源站原始描述：Gum bleeding is a common dental problem, and numerous patients seek health-related information on this topic online. The YouTube website is a popular resource for people searching for medical information. To our knowledge, no recent study has evaluated content related to bleeding gums on YouTube™. Therefore, this study aimed to conduct a quantitative and qualitative analysis of YouTube videos related to bleeding gums. A search was performed on YouTube using the keyword "bleeding gums" from Googl…
【数据结构与技术规格】
文件数 1 个，合计 5.63 KB。Table 8.xls：application/vnd.ms-excel，5.63 KB。数据集 DOI：10.1371/journal.pone.0298597.t008。
【主题与分类】
源站学科分类：Sociology、Biological Sciences not elsewhere classified、Science Policy。主题标签：time since upload、mann &# 8211、kruskal &# 8211、first 200 results、common dental problem、average viewing rate、spearman correlation analysis、global quality score、107 videos met、average video length。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面：https://plos.figshare.com/articles/dataset/Distribution_of_the_usefulness_score_items_/25354510
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Wu, Jiali; Li, Danlin; Lin, Minkui (2024). Distribution of the usefulness score items.. PLOS ONE. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载，适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档，适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务（收技术服务费，非数据销售）
暂未开放当前数据集主要来源为 Kaggle 公开托管，完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取（Figshare）
- 源站标题：Distribution of the usefulness score items.
- DOI：10.1371/journal.pone.0298597.t008
- 发布日期：2024-03-06
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Distribution_of_the_usefulness_score_items_/25354510
命令行下载
curl -L -o "Table 8.xls" "https://ndownloader.figshare.com/files/44900836"
文件清单
Table 8.xls（5.63 KB）
文件总体积 5.63 KB（源站 API 实测）。
数据说明
Gum bleeding is a common dental problem, and numerous patients seek health-related information on this topic online. The YouTube website is a popular resource for people searching for medical information. To our knowledge, no recent study has evaluated content related to bleeding gums on YouTube™. Therefore, this study aimed to conduct a quantitative and qualitative analysis of YouTube videos related to bleeding gums. A search was performed on YouTube using the keyword “bleeding gums” from Google Trends. Of the first 200 results, 107 videos met the inclusion criteria. The descriptive statistics for the videos included the time since upload, the video length, and the number of likes, views, comments, subscribers, and viewing rates. The global quality score (GQS), usefulness score, and DISCERN were used to evaluate the video quality. Statistical analysis was performed using the Kruskal–Wallis test, Mann–Whitney test, and Spearman correlation analysis. The majority (n = 69, 64.48%) of the videos observed were uploaded by hospitals/clinics and dentists/specialists. The highest coverage was for symptoms (95.33%). Only 14.02% of the videos were classified as “good”. The average video length of the videos rated as “good” was significantly longer than the other groups (p <0.05), and the average viewing rate of the videos rated as “poor” (63,943.68%) was substantially higher than the other groups (p <0.05). YouTube videos on bleeding gums were of moderate quality, but their content was incomplete and unreliable. Incorrect and inadequate content can significantly influence patients’ attitudes and medical decisions. Effort needs to be expended by dental professionals, organizations, and the YouTube platform to ensure that YouTube can serve as a reliable source of information on bleeding gums.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0298597.t008（source: https://plos.figshare.com/articles/dataset/Distribution_of_the_usefulness_score_items_/25354510）。
数据缺失？
依托陕西、四川两大基地，我们与超过十家三甲医院建立直接合作关系，覆盖合规授权、采集治理、专业标注、数据交付的全流程，为AI医疗团队提供即拿即用的高质量临床数据。
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