| Title |
Link transmission centrality in large-scale social networks
|
|---|---|
| Published in |
EPJ Data Science, September 2018
|
| DOI | 10.1140/epjds/s13688-018-0162-8 |
| Authors |
Qian Zhang, Márton Karsai, Alessandro Vespignani |
X Demographics
The data shown below were collected from the profiles of 123 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 | 23 | 19% |
| United Kingdom | 9 | 7% |
| Germany | 8 | 7% |
| France | 8 | 7% |
| Mexico | 5 | 4% |
| Australia | 4 | 3% |
| Netherlands | 3 | 2% |
| Italy | 3 | 2% |
| Argentina | 2 | 2% |
| Other | 18 | 15% |
| Unknown | 40 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 74 | 60% |
| Scientists | 43 | 35% |
| Science communicators (journalists, bloggers, editors) | 4 | 3% |
| Practitioners (doctors, other healthcare professionals) | 2 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 34% |
| Researcher | 9 | 17% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 15% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 25% |
| Mathematics | 7 | 13% |
| Social Sciences | 6 | 11% |
| Physics and Astronomy | 6 | 11% |
| Engineering | 4 | 8% |
| Other | 10 | 19% |
| Unknown | 7 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 74. 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 19 May 2019.
All research outputs
#593,290
of 25,757,133 outputs
Outputs from EPJ Data Science
#37
of 459 outputs
Outputs of similar age
#12,524
of 349,197 outputs
Outputs of similar age from EPJ Data Science
#2
of 20 outputs
Altmetric has tracked 25,757,133 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 459 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 31.5. This one has done particularly well, scoring higher than 91% 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 349,197 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 96% of its contemporaries.
We're also able to compare this research output to 20 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 90% of its contemporaries.