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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An investigation of the suitability of Artificial Neural Networks for the prediction of core and local skin temperatures when trained with a large and gender-balanced database
|
|---|---|
| Published in |
Applied Soft Computing, January 2017
|
| DOI | 10.1016/j.asoc.2016.11.006 |
| Authors |
K. Michael, M.D.P. Garcia-Souto, P. Dabnichki |
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 % |
|---|---|---|
| Denmark | 1 | 33% |
| Unknown | 2 | 67% |
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 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 34 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 5 | 15% |
| Student > Postgraduate | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Student > Doctoral Student | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 7 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 8 | 24% |
| Computer Science | 7 | 21% |
| Medicine and Dentistry | 3 | 9% |
| Nursing and Health Professions | 1 | 3% |
| Mathematics | 1 | 3% |
| Other | 5 | 15% |
| Unknown | 9 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 November 2017.
All research outputs
#15,739,529
of 25,374,647 outputs
Outputs from Applied Soft Computing
#490
of 1,066 outputs
Outputs of similar age
#235,628
of 421,653 outputs
Outputs of similar age from Applied Soft Computing
#8
of 17 outputs
Altmetric has tracked 25,374,647 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,066 research outputs from this source. They receive a mean Attention Score of 2.7. This one has gotten more attention than average, scoring higher than 53% 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 421,653 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 17 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 52% of its contemporaries.