What does Dr Google tell us about tendinopathies? An Italian analysis of online content

意大利地区肌腱病在线搜索内容数据集,包括关键词、网页可信度、可读性及内容分析,模态为文本。

Figshare
2025-10-07 更新
浏览 32
文本E-healthhealth literacytendontendinopathyweb data
What does Dr Google tell us about tendinopathies? An Italian analysis of online content

基本信息

模态
文本
大小
0.000803682 GB
许可
CC BY 4.0
创建/更新时间
2025-10-07
版本
v1

资源简介

What does Dr Google tell us about tendinopathies? An Italian analysis of online content

【数据集背景】

配套论文《What does Dr Google tell us about tendinopathies? An Italian analysis of online content》发表于 Pain Management(2025),DOI:10.1080/17581869.2025.2571389。项目资助方:This research did not receive any specific grant from funding agencies in the public, commercial, or not-for-profit sectors.。源站首次发布:2025-10-07。

【数据内容】

源站原始描述:This study aimed to identify the most frequently searched keywords and questions related to the Achilles, knee, shoulder, and elbow tendons in Italy. It further aimed to evaluate the credibility, readability, and content of the most visited web pages. Semrush Inc. (2008) machine learning models were used for data mining in December 2024. Credibility and readability of the most visited web pages were assessed through the QUality Evaluation Scoring Tool (QUEST) and Gulpease index, respectively. A…

【数据结构与技术规格】

文件数 7 个,合计 803.68 KB。Supplemental Material 1_STROBE checklist_R3.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,36.41 KB。Supplemental Material 2_PPIE GRIPP checklist_R3.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,33.60 KB。Supplemental Material 3_Content analysis_R3.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,39.38 KB。数据集 DOI:10.6084/m9.figshare.30295497.v1。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Sociology、Biological Sciences not elsewhere classified、Information Systems not elsewhere classified、Cancer。主题标签:E-health、health literacy、tendon、tendinopathy、web data。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/What_does_Dr_Google_tell_us_about_tendinopathies_An_Italian_analysis_of_online_content/30295497

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:What does Dr Google tell us about tendinopathies? An Italian analysis of online content. Taylor & Francis. d’Amone, Francesco; Rio, Ebonie; Esposto, Massimo; Ganderton, Charlotte; Rossettini, Giacomo; Cioeta, Matteo

【使用注意】

· 源站最后修改于 2025-12-15,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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)

命令行下载

curl -L -o "Supplemental Material 1_STROBE checklist_R3.docx" "https://ndownloader.figshare.com/files/58541724"
curl -L -o "Supplemental Material 2_PPIE GRIPP checklist_R3.docx" "https://ndownloader.figshare.com/files/58541727"
curl -L -o "Supplemental Material 3_Content analysis_R3.docx" "https://ndownloader.figshare.com/files/58541730"
curl -L -o "Supplemental Material 4_web pages URLs_R3.docx" "https://ndownloader.figshare.com/files/58541733"
curl -L -o "Supplemental Material 5_Inter-rater reliability_R4.xlsx" "https://ndownloader.figshare.com/files/58541736"
curl -L -o "Supplemental Material 6_Credibility wo conflicts_R3.docx" "https://ndownloader.figshare.com/files/58541739"
curl -L -o "Supplemental Material 7_Readability_R3.docx" "https://ndownloader.figshare.com/files/58541742"

文件清单

  • Supplemental Material 1_STROBE checklist_R3.docx(36.41 KB)
  • Supplemental Material 2_PPIE GRIPP checklist_R3.docx(33.60 KB)
  • Supplemental Material 3_Content analysis_R3.docx(39.38 KB)
  • Supplemental Material 4_web pages URLs_R3.docx(43.19 KB)
  • Supplemental Material 5_Inter-rater reliability_R4.xlsx(574.73 KB)
  • Supplemental Material 6_Credibility wo conflicts_R3.docx(46.70 KB)
  • Supplemental Material 7_Readability_R3.docx(29.68 KB)

文件总体积 803.68 KB(源站 API 实测)。

数据说明

This study aimed to identify the most frequently searched keywords and questions related to the Achilles, knee, shoulder, and elbow tendons in Italy. It further aimed to evaluate the credibility, readability, and content of the most visited web pages.
Semrush Inc. (2008) machine learning models were used for data mining in December 2024. Credibility and readability of the most visited web pages were assessed through the QUality Evaluation Scoring Tool (QUEST) and Gulpease index, respectively. A content analysis of web pages was used to determine alignment with evidence-based literature.
The most searched question was “How to treat foot tendonitis?” (2,750 searches). Only two web pages (2.2%) were rated as providing unbiased information using the QUEST, with credibility values ranging from 4.0 (±1.6) to 11.4 (±4.0) across all searches. Gulpease indices ranged from 34.0 (±2.1) to 42.8 (±2.9) across all web pages. Notably, content analysis revealed only a small percentage of web pages that aligned to best available evidence.
Credibility, readability, and overall quality of online content on tendons were poor. Healthcare professionals may play a role in promoting accurate terminology and supporting the production of high-quality, evidence-based web page content to improve public health literacy.
”Dr. Google,” is used by individuals to seek health-related information for common issues like tendon pain. However, it is unknown if the information found online is trustworthy and easy to understand. This study investigated what people in Italy search for online about the most common tendinopathies: Achilles, knee, shoulder, and elbow. The most popular web pages were examined for credibility (trustworthiness), readability (easy to understand), and how web page content aligns with best available evidence. Patients with tendon pain were consulted in this research project.
Our findings demonstrated that online information is often poor quality. Most web pages used outdated terms like “tendinitis” which may give end-users incorrect information about their condition. It was found that very few web pages were trustworthy and unbiased. The most visited web pages were found t

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.30295497.v1(source: https://tandf.figshare.com/articles/dataset/What_does_Dr_Google_tell_us_about_tendinopathies_An_Italian_analysis_of_online_content/30295497)。

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。

⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。

获取专属数据定制方案