| Title |
What an Entangled Web We Weave: An Information-centric Approach to Time-evolving Socio-technical Systems
|
|---|---|
| Published in |
Minds and Machines, September 2018
|
| DOI | 10.1007/s11023-018-9478-1 |
| Authors |
Markus Luczak-Roesch, Kieron O’Hara, Jesse David Dinneen, Ramine Tinati |
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 % |
|---|---|---|
| New Zealand | 3 | 20% |
| United States | 1 | 7% |
| United Kingdom | 1 | 7% |
| Brazil | 1 | 7% |
| Unknown | 9 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 47% |
| Members of the public | 4 | 27% |
| Science communicators (journalists, bloggers, editors) | 3 | 20% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 2% |
| Unknown | 43 | 98% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Lecturer > Senior Lecturer | 5 | 11% |
| Student > Master | 4 | 9% |
| Lecturer | 4 | 9% |
| Student > Doctoral Student | 4 | 9% |
| Other | 12 | 27% |
| Unknown | 8 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 30% |
| Business, Management and Accounting | 5 | 11% |
| Social Sciences | 3 | 7% |
| Mathematics | 3 | 7% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 18% |
| Unknown | 10 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 07 September 2022.
All research outputs
#1,992,581
of 25,516,314 outputs
Outputs from Minds and Machines
#41
of 336 outputs
Outputs of similar age
#40,825
of 352,195 outputs
Outputs of similar age from Minds and Machines
#3
of 8 outputs
Altmetric has tracked 25,516,314 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 336 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 12.6. This one has done well, scoring higher than 88% 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 352,195 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 88% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one. This one has scored higher than 5 of them.