| Title |
Uncovering the fragility of large-scale engineering projects
|
|---|---|
| Published in |
EPJ Data Science, July 2021
|
| DOI | 10.1140/epjds/s13688-021-00291-w |
| Authors |
Marc Santolini, Christos Ellinas, Christos Nicolaides |
X Demographics
The data shown below were collected from the profiles of 14 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 | 14% |
| India | 2 | 14% |
| United Kingdom | 2 | 14% |
| Austria | 1 | 7% |
| Canada | 1 | 7% |
| Cyprus | 1 | 7% |
| United States | 1 | 7% |
| Unknown | 4 | 29% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 57% |
| Members of the public | 5 | 36% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 33% |
| Student > Doctoral Student | 2 | 17% |
| Student > Ph. D. Student | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Business, Management and Accounting | 2 | 17% |
| Engineering | 2 | 17% |
| Philosophy | 1 | 8% |
| Physics and Astronomy | 1 | 8% |
| Computer Science | 1 | 8% |
| Other | 2 | 17% |
| Unknown | 3 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 July 2021.
All research outputs
#4,120,139
of 23,308,124 outputs
Outputs from EPJ Data Science
#260
of 382 outputs
Outputs of similar age
#93,759
of 440,082 outputs
Outputs of similar age from EPJ Data Science
#9
of 17 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. Compared to these this one has done well and is in the 82nd percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 382 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.7. This one is in the 31st percentile – i.e., 31% 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 440,082 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 78% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one is in the 47th percentile – i.e., 47% of its contemporaries scored the same or lower than it.