You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Computational personality recognition in social media
|
|---|---|
| Published in |
User Modeling and User-Adapted Interaction, February 2016
|
| DOI | 10.1007/s11257-016-9171-0 |
| Authors |
Golnoosh Farnadi, Geetha Sitaraman, Shanu Sushmita, Fabio Celli, Michal Kosinski, David Stillwell, Sergio Davalos, Marie-Francine Moens, Martine De Cock |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 33% |
| Slovenia | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 354 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 1 | <1% |
| Austria | 1 | <1% |
| India | 1 | <1% |
| United Kingdom | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 349 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 68 | 19% |
| Student > Master | 65 | 18% |
| Student > Bachelor | 40 | 11% |
| Researcher | 29 | 8% |
| Student > Doctoral Student | 14 | 4% |
| Other | 52 | 15% |
| Unknown | 86 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 114 | 32% |
| Psychology | 46 | 13% |
| Business, Management and Accounting | 26 | 7% |
| Engineering | 20 | 6% |
| Social Sciences | 13 | 4% |
| Other | 37 | 10% |
| Unknown | 98 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 01 December 2018.
All research outputs
#14,142,264
of 23,911,072 outputs
Outputs from User Modeling and User-Adapted Interaction
#145
of 191 outputs
Outputs of similar age
#197,493
of 403,931 outputs
Outputs of similar age from User Modeling and User-Adapted Interaction
#5
of 7 outputs
Altmetric has tracked 23,911,072 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 191 research outputs from this source. They receive a mean Attention Score of 4.6. This one is in the 23rd percentile – i.e., 23% 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 403,931 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 50% of its contemporaries.
We're also able to compare this research output to 7 others from the same source and published within six weeks on either side of this one. This one has scored higher than 2 of them.