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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Estimating community feedback effect on topic choice in social media with predictive modeling
|
|---|---|
| Published in |
EPJ Data Science, August 2020
|
| DOI | 10.1140/epjds/s13688-020-00243-w |
| Authors |
David Ifeoluwa Adelani, Ryota Kobayashi, Ingmar Weber, Przemyslaw A. Grabowicz |
X Demographics
The data shown below were collected from the profiles of 11 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 | 1 | 9% |
| Germany | 1 | 9% |
| United States | 1 | 9% |
| Unknown | 8 | 73% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 7 | 64% |
| Members of the public | 3 | 27% |
| Science communicators (journalists, bloggers, editors) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 15% |
| Student > Doctoral Student | 3 | 12% |
| Student > Master | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Other | 4 | 15% |
| Unknown | 7 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 31% |
| Engineering | 3 | 12% |
| Mathematics | 2 | 8% |
| Social Sciences | 2 | 8% |
| Psychology | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 7 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 12 January 2023.
All research outputs
#2,206,211
of 23,524,722 outputs
Outputs from EPJ Data Science
#190
of 384 outputs
Outputs of similar age
#59,844
of 400,580 outputs
Outputs of similar age from EPJ Data Science
#3
of 9 outputs
Altmetric has tracked 23,524,722 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 384 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 43.5. This one has gotten more attention than average, scoring higher than 50% 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 400,580 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 85% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 6 of them.