| Title |
Judicial analytics and the great transformation of American Law
|
|---|---|
| Published in |
Artificial Intelligence and Law, December 2018
|
| DOI | 10.1007/s10506-018-9237-x |
| Pubmed ID | |
| Authors |
Daniel L. Chen |
X Demographics
The data shown below were collected from the profiles of 13 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Colombia | 2 | 15% |
| Spain | 2 | 15% |
| Mexico | 2 | 15% |
| Ecuador | 1 | 8% |
| Argentina | 1 | 8% |
| Germany | 1 | 8% |
| Unknown | 4 | 31% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 85% |
| Practitioners (doctors, other healthcare professionals) | 1 | 8% |
| Scientists | 1 | 8% |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 77 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 18% |
| Student > Master | 11 | 14% |
| Student > Doctoral Student | 6 | 8% |
| Researcher | 5 | 6% |
| Professor | 3 | 4% |
| Other | 12 | 16% |
| Unknown | 26 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 18% |
| Social Sciences | 9 | 12% |
| Business, Management and Accounting | 6 | 8% |
| Engineering | 4 | 5% |
| Psychology | 4 | 5% |
| Other | 10 | 13% |
| Unknown | 30 | 39% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 06 May 2021.
All research outputs
#2,569,286
of 25,746,891 outputs
Outputs from Artificial Intelligence and Law
#17
of 235 outputs
Outputs of similar age
#55,762
of 447,381 outputs
Outputs of similar age from Artificial Intelligence and Law
#1
of 4 outputs
Altmetric has tracked 25,746,891 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 235 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.8. This one has done particularly well, scoring higher than 92% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 447,381 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 87% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them