Automated Author ProfileChaar-Lopez, Ivan
0000-0003-4731-6013
Chaar-Lopez, Ivan
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 2.4 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
The International Latina/o Studies Conference: Imagining the Past, Present, and Future took place from July 17 until July 19, 2014. It served as the founding conference for what will become the official organization of Latina/o Studies (official name TBD). Organizers for the conference proposed the hashtag #lschi2014 to social media users and I have made an archive of tweets using this hashtag. I compiled them using Martin Hawksey's TAGS, which uses Twitter's API, and they can be accessed in this .XLSX document posted on figshare. Some tweets are missing text but their totality can be obtained by visiting the link found in the column for "status_url." The dataset is available with a Creative Commons-Attribution license (CC-BY) for academic research and educational use. Researchers making use of the archive should keep in mind that Twitter's API is not 100% reliable because it over-represents more "central" users as it obfuscates peripheral activity (bit.ly/1rvrSvq). Similarly, some users surely tweeted about the conference without using #lschi2014, hence this archive should not be taken as an infallible source for all Twitter activity associated with the conference. For a more expansive take on social media activity during the conference, researchers should also look into hashtag use on tumblr, Instagram, and Facebook, among other social network sites. The dataset might require further refining.
Authors
- Chaar-Lopez, Ivan
The International Latina/o Studies Conference: Imagining the Past, Present, and Future took place from July 17 until July 19, 2014. It served as the founding conference for what will become the official organization of Latina/o Studies (official name TBD). Organizers for the conference proposed the hashtag #lschi2014 to social media users and I have made an archive of tweets using this hashtag. I compiled them using Martin Hawksey's TAGS, which uses Twitter's API, and they can be accessed in this .XLSX document posted on figshare. Some tweets are missing text but their totality can be obtained by visiting the link found in the column for "status_url." The dataset is available with a Creative Commons-Attribution license (CC-BY) for academic research and educational use. Researchers making use of the archive should keep in mind that Twitter's API is not 100% reliable because it over-represents more "central" users as it obfuscates peripheral activity (bit.ly/1rvrSvq). Similarly, some users surely tweeted about the conference without using #lschi2014, hence this archive should not be taken as an infallible source for all Twitter activity associated with the conference. For a more expansive take on social media activity during the conference, researchers should also look into hashtag use on tumblr, Instagram, and Facebook, among other social network sites. The dataset might require further refining.
Authors
- Chaar-Lopez, Ivan