• Corpus ID: 26431609

Altmetrics of "altmetrics" using Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki

@article{Hassan2016AltmetricsO,
  title={Altmetrics of "altmetrics" using Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki},
  author={Saeed-Ul Hassan and Uzair Ahmed Gillani},
  journal={ArXiv},
  year={2016},
  volume={abs/1603.07992}
}
We measure the impact of "altmetrics" field by deploying altmetrics indicators using the data from Google Scholar, Twitter, Mendeley, Facebook, Google-plus, CiteULike, Blogs and Wiki during 2010- 2014. To capture the social impact of scientific publications, we propose an index called alt-index, analogues to h-index. Across the deployed indices, our results have shown high correlation among the indicators that capture social impact. While we observe medium Pearson's correlation (\r{ho}= .247… 

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References

SHOWING 1-10 OF 18 REFERENCES

Altmetrics in the wild: Using social media to explore scholarly impact

This study explores the properties of these social media-based metrics or "altmetrics", sampling 24,331 articles published by the Public Library of Science and finds that that different indicators vary greatly in activity.

Use of Social Network Analysis in Bibliometric Researches 1

The impact of published works is measured and evaluated quantitatively and qualitatively by bibliometric researches. In addition to this, various findings related to scientific communication are also

Scientific citations in Wikipedia

Results show an increasing use of structured citation markup and good agreement with citation patterns seen in the scientific literature though with a slight tendency to cite articles in high-impact journals such as Nature and Science, which increases confidence in Wikipedia as a reliable information resource for science in general.

t factor: A metric for measuring impact on Twitter

The new index combines tweet and retweet data in a balanced way whereby retweets are seen as data reflecting the impact of initial tweets.

Twitter as a Corpus for Sentiment Analysis and Opinion Mining

This paper shows how to automatically collect a corpus for sentiment analysis and opinion mining purposes and builds a sentiment classifier, that is able to determine positive, negative and neutral sentiments for a document.

Altmetric: enriching scholarly content with article‐level discussion and metrics

Altmetric looks at examples of how people are interacting with papers online and at how publishers can collect and present the resulting data to deliver real value to their authors and readers.

Discovering Sentiment of Social Messages by Mining Message Correlations

A neural network model is applied, namely the self-organizing maps, to cluster similar messages and sentiment keywords, respectively and an association discovery process is developed to find the associations between a message and some sentiment keywords.

Earlier Web Usage Statistics as Predictors of Later Citation Impact

This paper analyses how short-term Web usage impact predicts medium-term citation impact and uses the physics e-print archive -- arXiv.org -- to test this.

Social media analytics for future oriented policy making

Research indicates that evidence-based policy making is most successful when public administrators refer to diversified information portfolios. With the rising prominence of social media in the last