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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Applying Big Data Methods to Understanding Human Behavior and Health
|
|---|---|
| Published in |
Frontiers in Computational Neuroscience, October 2018
|
| DOI | 10.3389/fncom.2018.00084 |
| Pubmed ID | |
| Authors |
Ahmed A. Moustafa, Thierno M. O. Diallo, Nicola Amoroso, Nazar Zaki, Mubashir Hassan, Hany Alashwal |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 40% |
| France | 1 | 20% |
| Switzerland | 1 | 20% |
| Netherlands | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 3 | 60% |
| Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Researcher | 9 | 13% |
| Student > Master | 8 | 11% |
| Student > Bachelor | 5 | 7% |
| Lecturer | 5 | 7% |
| Other | 14 | 20% |
| Unknown | 19 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 18% |
| Psychology | 10 | 14% |
| Neuroscience | 7 | 10% |
| Business, Management and Accounting | 2 | 3% |
| Nursing and Health Professions | 2 | 3% |
| Other | 18 | 25% |
| Unknown | 19 | 27% |
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 17 June 2021.
All research outputs
#7,576,625
of 23,105,443 outputs
Outputs from Frontiers in Computational Neuroscience
#415
of 1,358 outputs
Outputs of similar age
#136,466
of 348,433 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#11
of 25 outputs
Altmetric has tracked 23,105,443 research outputs across all sources so far. This one is in the 44th percentile – i.e., 44% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,358 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.1. This one has gotten more attention than average, scoring higher than 68% 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 348,433 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 54% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 56% of its contemporaries.