| Title |
Machine learning could improve innovation policy
|
|---|---|
| Published in |
Nature Machine Intelligence, February 2020
|
| DOI | 10.1038/s42256-020-0155-8 |
| Authors |
Jeffrey L. Furman, Florenta Teodoridis |
X Demographics
The data shown below were collected from the profiles of 10 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 | 2 | 20% |
| Germany | 2 | 20% |
| Canada | 1 | 10% |
| Colombia | 1 | 10% |
| Italy | 1 | 10% |
| Netherlands | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 50% |
| Scientists | 5 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 16% |
| Researcher | 2 | 11% |
| Other | 2 | 11% |
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 5 | 26% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 5 | 26% |
| Social Sciences | 3 | 16% |
| Economics, Econometrics and Finance | 2 | 11% |
| Computer Science | 2 | 11% |
| Engineering | 2 | 11% |
| Other | 1 | 5% |
| Unknown | 4 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 15 July 2020.
All research outputs
#3,795,419
of 23,192,960 outputs
Outputs from Nature Machine Intelligence
#406
of 571 outputs
Outputs of similar age
#90,405
of 457,412 outputs
Outputs of similar age from Nature Machine Intelligence
#22
of 33 outputs
Altmetric has tracked 23,192,960 research outputs across all sources so far. Compared to these this one has done well and is in the 83rd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 571 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 66.2. This one is in the 29th percentile – i.e., 29% of its peers scored the same or lower than it.
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 457,412 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 80% of its contemporaries.
We're also able to compare this research output to 33 others from the same source and published within six weeks on either side of this one. This one is in the 33rd percentile – i.e., 33% of its contemporaries scored the same or lower than it.