You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
The law in computation: What machine learning, artificial intelligence, and big data mean for law and society scholarship
|
|---|---|
| Published in |
Law & Policy, April 2021
|
| DOI | 10.1111/lapo.12164 |
| Authors |
Tania DoCarmo, Stephen Rea, Evan Conaway, John Emery, Noopur Raval |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 29% |
| Ireland | 3 | 18% |
| Antarctica | 1 | 6% |
| Portugal | 1 | 6% |
| Unknown | 7 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 47% |
| Scientists | 7 | 41% |
| Science communicators (journalists, bloggers, editors) | 2 | 12% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 14% |
| Student > Master | 8 | 12% |
| Student > Bachelor | 4 | 6% |
| Student > Doctoral Student | 3 | 5% |
| Researcher | 3 | 5% |
| Other | 8 | 12% |
| Unknown | 30 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 10 | 15% |
| Business, Management and Accounting | 7 | 11% |
| Computer Science | 5 | 8% |
| Economics, Econometrics and Finance | 3 | 5% |
| Engineering | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 32 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 24 May 2021.
All research outputs
#2,937,791
of 25,153,613 outputs
Outputs from Law & Policy
#36
of 240 outputs
Outputs of similar age
#70,164
of 433,703 outputs
Outputs of similar age from Law & Policy
#3
of 4 outputs
Altmetric has tracked 25,153,613 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 240 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.4. This one has done well, scoring higher than 85% 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 433,703 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 83% 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.