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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Modeling topologically resilient supply chain networks
|
|---|---|
| Published in |
Applied Network Science, July 2018
|
| DOI | 10.1007/s41109-018-0070-7 |
| Authors |
Viplove Arora, Mario Ventresca |
X Demographics
The data shown below were collected from the profiles of 9 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 States | 1 | 11% |
| France | 1 | 11% |
| Spain | 1 | 11% |
| Unknown | 6 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 44% |
| Members of the public | 4 | 44% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 21% |
| Student > Master | 11 | 18% |
| Student > Doctoral Student | 5 | 8% |
| Researcher | 3 | 5% |
| Professor | 3 | 5% |
| Other | 11 | 18% |
| Unknown | 16 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 14 | 23% |
| Business, Management and Accounting | 13 | 21% |
| Social Sciences | 4 | 6% |
| Mathematics | 2 | 3% |
| Computer Science | 1 | 2% |
| Other | 9 | 15% |
| Unknown | 19 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 16 July 2018.
All research outputs
#6,379,463
of 23,094,276 outputs
Outputs from Applied Network Science
#178
of 506 outputs
Outputs of similar age
#110,201
of 326,642 outputs
Outputs of similar age from Applied Network Science
#14
of 27 outputs
Altmetric has tracked 23,094,276 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 506 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 14.5. This one has gotten more attention than average, scoring higher than 64% 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 326,642 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 65% of its contemporaries.
We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 48th percentile – i.e., 48% of its contemporaries scored the same or lower than it.