在线讨论#KidneyStones：活动、用户和内容的纵向评估

数据集获取（Figshare）

• 源站标题：Online Discussion on #KidneyStones: A Longitudinal Assessment of Activity, Users and Content
• DOI：10.1371/journal.pone.0160863
• 发布日期：2016-08-18
• 文件数：2 个
• 文件总体积：59.09 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Online_Discussion_on_KidneyStones_A_Longitudinal_Assessment_of_Activity_Users_and_Content/3710238

命令行下载

curl -L -o "S1 Table.XLSX" "https://ndownloader.figshare.com/files/5800926"
curl -L -o "S2 Table.XLSX" "https://ndownloader.figshare.com/files/5800935"

文件清单

• S1 Table.XLSX（13.06 KB）
• S2 Table.XLSX（46.02 KB）

文件总体积 59.09 KB（源站 API 实测）。

数据加载示例（图像类）

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Introduction
Twitter is a popular microblogging platform for the rapid dissemination of information and reciprocal exchange in the urological field. We aimed to assess the activity, users and content of the online discussion, #KidneyStones, on Twitter.
Methods
We investigated the Symplur Signals analytics tool for Twitter data distributed via the #KidneyStones hashtag over a one year period. Activity analysis reflected overall activity and tweet enhancements. We assessed users’ geolocations and performed an influencer analysis. Content analysis included the most frequently used words, tweet sentiment and shares for top tweets.
Results
3,426 users generated over 10,333 tweets, which were frequently accompanied by links (49%), mentions (30%) and photos (13%). Users came from 106 countries across the globe and were most frequently from North America (63%) and Europe (16%). Individual and organisational healthcare professionals made up 56% of the influencers of the Twitter discussion on #KidneyStones. Besides the words ‘kidney’ (used 4,045 times) and ‘stones’ (3,335), ‘pain’ (1,233), ‘urine’ (1,158), and ‘risk’ (1,023) were the most frequently used words. 56% of tweets had a positive sentiment. The median (range) number of shares was 85 (62–587) for the top 10 links, 45.5 (17–94) for the top 10 photos, and 44 (22–95) for the top 10 retweets.
Conclusion
The rapidly growing Twitter discussion on #KidneyStones engaged multiple stakeholders in the healthcare sector on a global scale and reached both professionals and laypeople. When used effectively and responsibly, the Twitter platform could improve prevention and medical care of kidney stone patients.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0160863（source: https://plos.figshare.com/articles/dataset/Online_Discussion_on_KidneyStones_A_Longitudinal_Assessment_of_Activity_Users_and_Content/3710238）。