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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Causal Inference Using Global Forecasting Models for Counterfactual Prediction
|
|---|---|
| Book title |
Lecture Notes in Computer Science
|
| Published in |
Lecture notes in computer science, May 2021
|
| DOI | 10.1007/978-3-030-75765-6_23 |
| Book ISBNs |
978-3-03-075764-9, 978-3-03-075765-6
|
| Authors |
Priscila Grecov, Kasun Bandara, Christoph Bergmeir, Klaus Ackermann, Sam Campbell, Deborah Scott, Dan Lubman, Grecov, Priscila, Bandara, Kasun, Bergmeir, Christoph, Ackermann, Klaus, Campbell, Sam, Scott, Deborah, Lubman, Dan |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer > Senior Lecturer | 1 | 9% |
| Other | 1 | 9% |
| Student > Bachelor | 1 | 9% |
| Professor | 1 | 9% |
| Student > Ph. D. Student | 1 | 9% |
| Other | 2 | 18% |
| Unknown | 4 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 18% |
| Arts and Humanities | 1 | 9% |
| Computer Science | 1 | 9% |
| Business, Management and Accounting | 1 | 9% |
| Medicine and Dentistry | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 4 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 07 May 2021.
All research outputs
#15,685,238
of 23,308,124 outputs
Outputs from Lecture notes in computer science
#4,675
of 8,160 outputs
Outputs of similar age
#259,560
of 440,140 outputs
Outputs of similar age from Lecture notes in computer science
#10
of 15 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 8,160 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.1. This one is in the 27th percentile – i.e., 27% 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 440,140 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 31st percentile – i.e., 31% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one is in the 20th percentile – i.e., 20% of its contemporaries scored the same or lower than it.