The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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.
Timeline
Mendeley readers
Attention Score in Context
Title |
iETS: State space model for intermittent demand forecasting
|
---|---|
Published in |
International Journal of Production Economics, November 2023
|
DOI | 10.1016/j.ijpe.2023.109013 |
Authors |
Ivan Svetunkov, John E. Boylan |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Unspecified | 6 | 21% |
Other | 2 | 7% |
Researcher | 1 | 3% |
Lecturer | 1 | 3% |
Lecturer > Senior Lecturer | 1 | 3% |
Other | 0 | 0% |
Unknown | 18 | 62% |
Readers by discipline | Count | As % |
---|---|---|
Unspecified | 5 | 17% |
Business, Management and Accounting | 5 | 17% |
Agricultural and Biological Sciences | 1 | 3% |
Unknown | 18 | 62% |
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 08 September 2023.
All research outputs
#3,802,284
of 25,394,764 outputs
Outputs from International Journal of Production Economics
#51
of 923 outputs
Outputs of similar age
#59,828
of 357,109 outputs
Outputs of similar age from International Journal of Production Economics
#1
of 8 outputs
Altmetric has tracked 25,394,764 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 923 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done particularly well, scoring higher than 93% 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 357,109 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 8 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