| 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 15 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 Kingdom | 2 | 13% |
| France | 2 | 13% |
| India | 1 | 7% |
| United States | 1 | 7% |
| Germany | 1 | 7% |
| Canada | 1 | 7% |
| Austria | 1 | 7% |
| Cyprus | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 4 | 29% |
| Student > Doctoral Student | 2 | 14% |
| Unspecified | 1 | 7% |
| Student > Ph. D. Student | 1 | 7% |
| Other | 1 | 7% |
| Other | 2 | 14% |
| Unknown | 3 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 21% |
| Business, Management and Accounting | 2 | 14% |
| Unspecified | 1 | 7% |
| Philosophy | 1 | 7% |
| Physics and Astronomy | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 3 | 21% |
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 29 July 2021.
All research outputs
#4,210,470
of 25,387,668 outputs
Outputs from EPJ Data Science
#276
of 440 outputs
Outputs of similar age
#92,746
of 450,585 outputs
Outputs of similar age from EPJ Data Science
#9
of 17 outputs
Altmetric has tracked 25,387,668 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 440 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.8. This one is in the 37th percentile – i.e., 37% 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 450,585 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 79% 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.