The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Understanding Online Behavior: Exploring the Probability of Online Personality Trait Using Supervised Machine-Learning Approach
|
|---|---|
| Published in |
Frontiers in ICT, May 2016
|
| DOI | 10.3389/fict.2016.00008 |
| Authors |
Ikuesan Richard Adeyemi, Shukor Abd Razak, Mazleena Salleh |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 21% |
| Pakistan | 1 | 5% |
| Germany | 1 | 5% |
| Hungary | 1 | 5% |
| United Kingdom | 1 | 5% |
| Unknown | 11 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 15 | 79% |
| Science communicators (journalists, bloggers, editors) | 2 | 11% |
| Scientists | 2 | 11% |
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 % |
|---|---|---|
| United States | 2 | 4% |
| Unknown | 51 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 8 | 15% |
| Researcher | 6 | 11% |
| Lecturer | 5 | 9% |
| Student > Bachelor | 4 | 8% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 9 | 17% |
| Unknown | 17 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 15 | 28% |
| Social Sciences | 5 | 9% |
| Business, Management and Accounting | 5 | 9% |
| Psychology | 3 | 6% |
| Nursing and Health Professions | 1 | 2% |
| Other | 6 | 11% |
| Unknown | 18 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 204. 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 23 February 2022.
All research outputs
#191,350
of 25,380,192 outputs
Outputs from Frontiers in ICT
#2
of 143 outputs
Outputs of similar age
#3,699
of 352,523 outputs
Outputs of similar age from Frontiers in ICT
#2
of 7 outputs
Altmetric has tracked 25,380,192 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 143 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.8. This one has done particularly well, scoring higher than 99% 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 352,523 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 98% 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 5 of them.