| Title |
Corruption and complexity: a scientific framework for the analysis of corruption networks
|
|---|---|
| Published in |
Applied Network Science, February 2020
|
| DOI | 10.1007/s41109-020-00258-2 |
| Authors |
Issa Luna-Pla, José R. Nicolás-Carlock |
X Demographics
The data shown below were collected from the profiles of 50 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 15 | 30% |
| United States | 4 | 8% |
| Canada | 2 | 4% |
| New Zealand | 1 | 2% |
| Netherlands | 1 | 2% |
| Hungary | 1 | 2% |
| Germany | 1 | 2% |
| Finland | 1 | 2% |
| Unknown | 24 | 48% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 42 | 84% |
| Scientists | 8 | 16% |
Mendeley readers
The data shown below were compiled from readership statistics for 214 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 214 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 20 | 9% |
| Student > Ph. D. Student | 19 | 9% |
| Student > Bachelor | 16 | 7% |
| Lecturer | 10 | 5% |
| Unspecified | 9 | 4% |
| Other | 40 | 19% |
| Unknown | 100 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 30 | 14% |
| Business, Management and Accounting | 16 | 7% |
| Engineering | 14 | 7% |
| Economics, Econometrics and Finance | 13 | 6% |
| Computer Science | 8 | 4% |
| Other | 32 | 15% |
| Unknown | 101 | 47% |
Attention Score in Context
This research output has an Altmetric Attention Score of 37. 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 15 April 2024.
All research outputs
#1,114,598
of 25,718,113 outputs
Outputs from Applied Network Science
#23
of 584 outputs
Outputs of similar age
#26,944
of 384,632 outputs
Outputs of similar age from Applied Network Science
#1
of 15 outputs
Altmetric has tracked 25,718,113 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 584 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.1. This one has done particularly well, scoring higher than 96% 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 384,632 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
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 has done particularly well, scoring higher than 93% of its contemporaries.