| scholarly article | Q13442814 |
| P819 | ADS bibcode | 2014PLoSO...9j6086H |
| P356 | DOI | 10.1371/JOURNAL.PONE.0106086 |
| P932 | PMC publication ID | 4143334 |
| P698 | PubMed publication ID | 25153196 |
| P5875 | ResearchGate publication ID | 265055299 |
| P50 | author | Isabella Peters | Q15428710 |
| Stefanie Haustein | Q37615273 | ||
| Timothy D. Bowman | Q43889204 | ||
| Kim Holmberg | Q56246089 | ||
| P2860 | cites work | Do altmetrics work? Twitter and ten other social web services | Q21133507 |
| The altmetrics collection | Q21560746 | ||
| Can tweets predict citations? Metrics of social impact based on Twitter and correlation with traditional metrics of scientific impact | Q24632853 | ||
| Collective dynamics of 'small-world' networks | Q27861064 | ||
| Sentiment strength detection in short informal text | Q29148809 | ||
| Fast unfolding of communities in large networks | Q29305711 | ||
| How the scientific community reacts to newly submitted preprints: article downloads, Twitter mentions, and citations | Q34469537 | ||
| Tweeting biomedicine: An analysis of tweets and citations in the biomedical literature | Q56567815 | ||
| Coverage and adoption of altmetrics sources in the bibliometric community | Q57425912 | ||
| How and why scholars cite on Twitter | Q57425918 | ||
| Social media use in the research workflow | Q57561240 | ||
| Astrophysicists on Twitter | Q57782227 | ||
| Disciplinary differences in Twitter scholarly communication | Q57782228 | ||
| Tweets vs. Mendeley readers: How do these two social media metrics differ? | Q57898093 | ||
| Imagining Twitter as an Imagined Community | Q58188205 | ||
| Sentiment Knowledge Discovery in Twitter Streaming Data | Q58560739 | ||
| OpenOrd: an open-source toolbox for large graph layout | Q58830704 | ||
| Quantitative Approaches to Comparing Communication Patterns on Twitter | Q59256810 | ||
| Scientists enter the blogosphere | Q34625776 | ||
| Microblogging and nanotweets: Nanotechnology on Twitter. | Q38448895 | ||
| Automatic term identification for bibliometric mapping | Q39348549 | ||
| Physicians on Twitter. | Q51475517 | ||
| Twitter power: Tweets as electronic word of mouth | Q55983242 | ||
| P275 | copyright license | Creative Commons Attribution 4.0 International | Q20007257 |
| P6216 | copyright status | copyrighted | Q50423863 |
| P433 | issue | 8 | |
| P407 | language of work or name | English | Q1860 |
| P921 | main subject | X | Q918 |
| P304 | page(s) | e106086 | |
| P577 | publication date | 2014-08-25 | |
| P1433 | published in | PLOS One | Q564954 |
| P1476 | title | Astrophysicists' conversational connections on Twitter | |
| P478 | volume | 9 |
| Q33553966 | A systematic identification and analysis of scientists on Twitter |
| Q92216416 | Towards a second generation of 'social media metrics': Characterizing Twitter communities of attention around science |
| Q91596552 | Using social media to promote academic research: Identifying the benefits of twitter for sharing academic work |
| Q33821795 | What do computer scientists tweet? Analyzing the link-sharing practice on Twitter |
| Q35762433 | You Are What You Tweet: Connecting the Geographic Variation in America's Obesity Rate to Twitter Content |
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