| Title |
The importance of interpretability and visualization in machine learning for applications in medicine and health care
|
|---|---|
| Published in |
Neural Computing and Applications, February 2019
|
| DOI | 10.1007/s00521-019-04051-w |
| Authors |
Alfredo Vellido |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 413 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 413 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 71 | 17% |
| Student > Master | 48 | 12% |
| Researcher | 26 | 6% |
| Student > Bachelor | 24 | 6% |
| Student > Doctoral Student | 22 | 5% |
| Other | 41 | 10% |
| Unknown | 181 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 82 | 20% |
| Engineering | 37 | 9% |
| Medicine and Dentistry | 14 | 3% |
| Business, Management and Accounting | 11 | 3% |
| Biochemistry, Genetics and Molecular Biology | 9 | 2% |
| Other | 62 | 15% |
| Unknown | 198 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 21. 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 27 May 2022.
All research outputs
#1,645,057
of 23,885,338 outputs
Outputs from Neural Computing and Applications
#17
of 2,419 outputs
Outputs of similar age
#40,623
of 443,778 outputs
Outputs of similar age from Neural Computing and Applications
#1
of 24 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 93rd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,419 research outputs from this source. They receive a mean Attention Score of 1.4. 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 443,778 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 90% of its contemporaries.
We're also able to compare this research output to 24 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.