| Title |
Prediction of ESG compliance using a heterogeneous information network
|
|---|---|
| Published in |
Journal of Big Data, March 2020
|
| DOI | 10.1186/s40537-020-00295-9 |
| Authors |
Ryohei Hisano, Didier Sornette, Takayuki Mizuno |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 1 | 17% |
| Unknown | 5 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
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% |
| Lecturer | 7 | 11% |
| Researcher | 7 | 11% |
| Student > Master | 4 | 6% |
| Student > Doctoral Student | 4 | 6% |
| Other | 11 | 17% |
| Unknown | 23 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 14 | 22% |
| Computer Science | 7 | 11% |
| Economics, Econometrics and Finance | 6 | 9% |
| Social Sciences | 4 | 6% |
| Arts and Humanities | 2 | 3% |
| Other | 6 | 9% |
| Unknown | 26 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 14 November 2019.
All research outputs
#15,749,194
of 25,385,509 outputs
Outputs from Journal of Big Data
#211
of 391 outputs
Outputs of similar age
#216,706
of 392,347 outputs
Outputs of similar age from Journal of Big Data
#9
of 14 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 391 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.6. This one is in the 44th percentile – i.e., 44% 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 392,347 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.