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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of cognitive impairment via deep learning trained with multi-center neuropsychological test data
|
|---|---|
| Published in |
BMC Medical Informatics and Decision Making, November 2019
|
| DOI | 10.1186/s12911-019-0974-x |
| Pubmed ID | |
| Authors |
Min Ju Kang, Sang Yun Kim, Duk L. Na, Byeong C. Kim, Dong Won Yang, Eun-Joo Kim, Hae Ri Na, Hyun Jeong Han, Jae-Hong Lee, Jong Hun Kim, Kee Hyung Park, Kyung Won Park, Seol-Heui Han, Seong Yoon Kim, Soo Jin Yoon, Bora Yoon, Sang Won Seo, So Young Moon, YoungSoon Yang, Yong S. Shim, Min Jae Baek, Jee Hyang Jeong, Seong Hye Choi, Young Chul Youn |
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 % |
|---|---|---|
| Unknown | 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 94 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 94 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 14% |
| Student > Master | 9 | 10% |
| Student > Bachelor | 9 | 10% |
| Researcher | 6 | 6% |
| Student > Postgraduate | 5 | 5% |
| Other | 17 | 18% |
| Unknown | 35 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 10 | 11% |
| Computer Science | 10 | 11% |
| Medicine and Dentistry | 9 | 10% |
| Neuroscience | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Other | 16 | 17% |
| Unknown | 39 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 October 2023.
All research outputs
#2,659,082
of 24,727,020 outputs
Outputs from BMC Medical Informatics and Decision Making
#176
of 2,110 outputs
Outputs of similar age
#61,676
of 468,540 outputs
Outputs of similar age from BMC Medical Informatics and Decision Making
#5
of 71 outputs
Altmetric has tracked 24,727,020 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,110 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.3. This one has done particularly well, scoring higher than 91% 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 468,540 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 86% of its contemporaries.
We're also able to compare this research output to 71 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 94% of its contemporaries.