| Title |
Generative models of online discussion threads: state of the art and research challenges
|
|---|---|
| Published in |
Journal of Internet Services and Applications, October 2017
|
| DOI | 10.1186/s13174-017-0066-z |
| Authors |
Pablo Aragón, Vicenç Gómez, David García, Andreas Kaltenbrunner |
X Demographics
The data shown below were collected from the profiles of 13 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 | 15% |
| Comoros | 2 | 15% |
| Brazil | 2 | 15% |
| United States | 1 | 8% |
| Spain | 1 | 8% |
| Unknown | 5 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 62% |
| Scientists | 3 | 23% |
| Science communicators (journalists, bloggers, editors) | 2 | 15% |
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 | 11 | 21% |
| Researcher | 7 | 13% |
| Student > Doctoral Student | 5 | 9% |
| Student > Master | 5 | 9% |
| Other | 4 | 8% |
| Other | 8 | 15% |
| Unknown | 13 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 28% |
| Social Sciences | 6 | 11% |
| Engineering | 4 | 8% |
| Business, Management and Accounting | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 16 | 30% |
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 11 June 2019.
All research outputs
#4,148,744
of 24,397,980 outputs
Outputs from Journal of Internet Services and Applications
#24
of 183 outputs
Outputs of similar age
#71,963
of 326,963 outputs
Outputs of similar age from Journal of Internet Services and Applications
#1
of 4 outputs
Altmetric has tracked 24,397,980 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 183 research outputs from this source. They receive a mean Attention Score of 4.6. This one has done well, scoring higher than 87% 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 326,963 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 77% of its contemporaries.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them