| Title |
Modeling dynamics of attention in social media with user efficiency
|
|---|---|
| Published in |
EPJ Data Science, March 2014
|
| DOI | 10.1140/epjds30 |
| Authors |
Carmen Vaca Ruiz, Luca Maria Aiello, Alejandro Jaimes |
X Demographics
The data shown below were collected from the profiles of 9 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 | 11% |
| Netherlands | 1 | 11% |
| Germany | 1 | 11% |
| Denmark | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 69 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 1% |
| Germany | 1 | 1% |
| Belarus | 1 | 1% |
| Australia | 1 | 1% |
| Unknown | 65 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 17% |
| Researcher | 6 | 9% |
| Student > Postgraduate | 3 | 4% |
| Student > Doctoral Student | 3 | 4% |
| Professor > Associate Professor | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 34 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 14% |
| Business, Management and Accounting | 6 | 9% |
| Engineering | 5 | 7% |
| Arts and Humanities | 3 | 4% |
| Social Sciences | 3 | 4% |
| Other | 5 | 7% |
| Unknown | 37 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 March 2014.
All research outputs
#6,796,219
of 25,193,883 outputs
Outputs from EPJ Data Science
#320
of 432 outputs
Outputs of similar age
#59,279
of 227,923 outputs
Outputs of similar age from EPJ Data Science
#5
of 5 outputs
Altmetric has tracked 25,193,883 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 432 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.4. This one is in the 25th percentile – i.e., 25% of its peers scored the same or lower than it.
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 227,923 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 5 others from the same source and published within six weeks on either side of this one.