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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of Conversion From Amnestic Mild Cognitive Impairment to Alzheimer's Disease Based on the Brain Structural Connectome
|
|---|---|
| Published in |
Frontiers in Neurology, January 2019
|
| DOI | 10.3389/fneur.2018.01178 |
| Pubmed ID | |
| Authors |
Yu Sun, Qiuhui Bi, Xiaoni Wang, Xiaochen Hu, Huijie Li, Xiaobo Li, Ting Ma, Jie Lu, Piu Chan, Ni Shu, Ying Han |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Practitioners (doctors, other healthcare professionals) | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 13% |
| Student > Bachelor | 7 | 10% |
| Researcher | 4 | 6% |
| Student > Postgraduate | 4 | 6% |
| Student > Ph. D. Student | 4 | 6% |
| Other | 13 | 19% |
| Unknown | 26 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 10 | 15% |
| Psychology | 8 | 12% |
| Computer Science | 6 | 9% |
| Medicine and Dentistry | 4 | 6% |
| Agricultural and Biological Sciences | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 28 | 42% |
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 01 February 2019.
All research outputs
#3,175,027
of 23,122,481 outputs
Outputs from Frontiers in Neurology
#2,407
of 12,038 outputs
Outputs of similar age
#75,719
of 437,984 outputs
Outputs of similar age from Frontiers in Neurology
#43
of 336 outputs
Altmetric has tracked 23,122,481 research outputs across all sources so far. Compared to these this one has done well and is in the 86th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,038 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 7.3. 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 437,984 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 82% of its contemporaries.
We're also able to compare this research output to 336 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.