| Title |
NMD-12: A new machine-learning derived screening instrument to detect mild cognitive impairment and dementia
|
|---|---|
| Published in |
PLOS ONE, March 2019
|
| DOI | 10.1371/journal.pone.0213430 |
| Pubmed ID | |
| Authors |
Pai-Yi Chiu, Haipeng Tang, Cheng-Yu Wei, Chaoyang Zhang, Guang-Uei Hung, Weihua Zhou |
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 76 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 76 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 12% |
| Student > Doctoral Student | 6 | 8% |
| Student > Postgraduate | 5 | 7% |
| Student > Bachelor | 4 | 5% |
| Professor | 3 | 4% |
| Other | 14 | 18% |
| Unknown | 35 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 7 | 9% |
| Nursing and Health Professions | 7 | 9% |
| Psychology | 6 | 8% |
| Computer Science | 4 | 5% |
| Sports and Recreations | 3 | 4% |
| Other | 14 | 18% |
| Unknown | 35 | 46% |
Attention Score in Context
This research output has an Altmetric Attention Score of 10. 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 18 December 2019.
All research outputs
#3,292,106
of 23,132,033 outputs
Outputs from PLOS ONE
#42,932
of 197,452 outputs
Outputs of similar age
#74,397
of 351,768 outputs
Outputs of similar age from PLOS ONE
#757
of 3,041 outputs
Altmetric has tracked 23,132,033 research outputs across all sources so far. Compared to these this one has done well and is in the 85th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 197,452 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 78% 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 351,768 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 78% of its contemporaries.
We're also able to compare this research output to 3,041 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 74% of its contemporaries.