Automated Author ProfileHeckert, Alec
Department of Molecular and Cell Biology, University of California, Berkeley, CA 94720
Heckert, Alec
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: 0.8 (sum of 2 datasets Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
Experimental single-particle tracking (SPT) data supporting "Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD"This dataset contains all the raw SPT data reported in "Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD" in the form of SPT trajectories. The SPT trajectories are provided in two different formats for convenience: a CSV format and a Matlab format. Both formats are readable by Spot-On: https://spoton.berkeley.edu/The SPT data contains "fast tracking" spaSPT data (Figure 2d) and this data was analyzed using the Matlab version of Spot-On which can be found and downloaded at: https://gitlab.com/tjian-darzacq-lab/spot-on-matlabThe SPT data also contains "slow tracking" SPT data (Figure 2e).Full details about the Matlab and CSV formats are provided in the ReadMe files in the associated zip files.Please see the associated manuscript for a detailed description of how the data was acquired and analyzed. For questions about the data please contact Anders Sejr Hansen at anders.sejr.hansen {at} berkeley {dot} edu.
Authors
- Lu, Huasong ;
- Yu, Dan ;
- Hansen, Anders S. ;
- Ganguly, Sourav ;
- Liu, Rongdiao ;
- Heckert, Alec ;
- Darzacq, Xavier ;
- Zhou, Qiang
Experimental single-particle tracking (SPT) data supporting "Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD"This dataset contains all the raw SPT data reported in "Histidine-rich domain of kinases induce phase separation to hyperphosphorylate Pol II CTD" in the form of SPT trajectories. The SPT trajectories are provided in two different formats for convenience: a CSV format and a Matlab format. Both formats are readable by Spot-On: https://spoton.berkeley.edu/The SPT data contains "fast tracking" spaSPT data (Figure 2d) and this data was analyzed using the Matlab version of Spot-On which can be found and downloaded at: https://gitlab.com/tjian-darzacq-lab/spot-on-matlabThe SPT data also contains "slow tracking" SPT data (Figure 2e).Full details about the Matlab and CSV formats are provided in the ReadMe files in the associated zip files.Please see the associated manuscript for a detailed description of how the data was acquired and analyzed. For questions about the data please contact Anders Sejr Hansen at anders.sejr.hansen {at} berkeley {dot} edu.
Authors
- Lu, Huasong ;
- Yu, Dan ;
- Hansen, Anders S. ;
- Ganguly, Sourav ;
- Liu, Rongdiao ;
- Heckert, Alec ;
- Darzacq, Xavier ;
- Zhou, Qiang