Data · dataset · 2017
How Topics Affect Twitter Attention
Listed in DataCite
The purpose of the investigation conducted was to discover trends in twitter popularity regarding different areas of science.
Description
This investigation can benefit areas of marketing such as targeted advertising, as well as demographic research in order to correctly test certain demographics and obtain research grants. Results included possible confirmation of our motive through principal component analysis, The data was compiled using RStudio and was narrowed down by subjects, Altmetric scores, and countries.
The data was parsed through to find Key words in the abstracts of articles. Principal Component Analysis was applied to a matrix of padded tweet dates, arranged by subject. These arranged dates were also plotted to visualize trends over time.
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From the data collected, the articles that were most tweeted about, between January 1st, 2016 to July 1st, 2016, worldwide were articles concerning physics. Out of all the articles, ”death” was the keyword most popular in articles’ abstracts. Disease-related words appeared far more often than the word ”cure”.
The United States of America, Canada and Great Britain had the highest number of tweeters. Great Britain’s population was mainly interested in articles regarding dentistry, while Canada and the United States of America had a higher tweet count in articles related to health science.
Links
Where it is published
- Repository landing page stemfellowship.figshare.com/articles/dataset/How_Topics_Affect_Twitter_Attention/4621009 ↗
landing page · from DataCite
- DOI doi.org/10.6084/m9.figshare.4621009 ↗
DOI / persistent id · from DataCite
Documentation and papers
Catalogue records · 2
- DataCite API api.datacite.org/dois/10.6084/m9.figshare.4621009 ↗
metadata API · from DataCite
- DataCite Commons commons.datacite.org/doi.org/10.6084/m9.figshare.4621009 ↗
catalogue entry · from DataCite
Topics
Related
- Inverse of same asHow Topics Affect Twitter Attention
Provenance · 1 source records, 9 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| DataCite | 10.6084/m9.figshare.4621009 | 13 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| byte_size | source · DataCite | connector:datacite@1.0.0 | |
| concepts[field].fos:electrical-engineering-electronic-engineering-information-engineering | source · DataCite | connector:datacite@1.0.0 | |
| created_date | source · DataCite | connector:datacite@1.0.0 | |
| description | source · DataCite | connector:datacite@1.0.0 | /data/attributes/descriptions |
| license | source · DataCite | connector:datacite@1.0.0 | /data/attributes/rightsList |
| publication_date | source · DataCite | connector:datacite@1.0.0 | /data/attributes/dates |
| title | source · DataCite | connector:datacite@1.0.0 | /data/attributes/titles/0/title |
| updated_date | source · DataCite | connector:datacite@1.0.0 |