| Title |
Predictive big data analytics for supply chain demand forecasting: methods, applications, and research opportunities
|
|---|---|
| Published in |
Journal of Big Data, July 2020
|
| DOI | 10.1186/s40537-020-00329-2 |
| Authors |
Mahya Seyedan, Fereshteh Mafakheri |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 800 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 800 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 75 | 9% |
| Student > Bachelor | 63 | 8% |
| Student > Ph. D. Student | 53 | 7% |
| Researcher | 28 | 4% |
| Unspecified | 26 | 3% |
| Other | 94 | 12% |
| Unknown | 461 | 58% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 92 | 12% |
| Computer Science | 70 | 9% |
| Business, Management and Accounting | 65 | 8% |
| Unspecified | 26 | 3% |
| Economics, Econometrics and Finance | 12 | 2% |
| Other | 62 | 8% |
| Unknown | 473 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 23. 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 30 March 2022.
All research outputs
#1,579,460
of 24,742,536 outputs
Outputs from Journal of Big Data
#36
of 372 outputs
Outputs of similar age
#42,642
of 403,744 outputs
Outputs of similar age from Journal of Big Data
#4
of 22 outputs
Altmetric has tracked 24,742,536 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 372 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.5. This one has done particularly well, scoring higher than 90% 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 403,744 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 89% of its contemporaries.
We're also able to compare this research output to 22 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.