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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Post-Disaster Supply Chain Interdependent Critical Infrastructure System Restoration: A Review of Data Necessary and Available for Modeling
|
|---|---|
| Published in |
Data Science Journal, January 2016
|
| DOI | 10.5334/dsj-2016-001 |
| Authors |
Varun Ramachandran, Suzanna Long, Tom Shoberg, Steven Corns, Héctor Carlo |
X Demographics
The data shown below were collected from the profiles of 3 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 | 2 | 67% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 31% |
| Student > Master | 4 | 10% |
| Student > Bachelor | 4 | 10% |
| Researcher | 3 | 7% |
| Student > Doctoral Student | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 12 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 15 | 36% |
| Business, Management and Accounting | 3 | 7% |
| Social Sciences | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Computer Science | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 13 | 31% |
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 29 April 2019.
All research outputs
#13,474,769
of 22,879,161 outputs
Outputs from Data Science Journal
#267
of 331 outputs
Outputs of similar age
#189,489
of 393,857 outputs
Outputs of similar age from Data Science Journal
#3
of 3 outputs
Altmetric has tracked 22,879,161 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 331 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.9. This one is in the 15th percentile – i.e., 15% 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 393,857 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 50% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.