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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Classification of Early and Late Mild Cognitive Impairment Using Functional Brain Network of Resting-State fMRI
|
|---|---|
| Published in |
Frontiers in Psychiatry, August 2019
|
| DOI | 10.3389/fpsyt.2019.00572 |
| Pubmed ID | |
| Authors |
Tingting Zhang, Zanzan Zhao, Chao Zhang, Junjun Zhang, Zhenlan Jin, Ling Li |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Science communicators (journalists, bloggers, editors) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 54 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 54 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 19% |
| Student > Master | 8 | 15% |
| Student > Doctoral Student | 5 | 9% |
| Student > Bachelor | 4 | 7% |
| Student > Postgraduate | 4 | 7% |
| Other | 12 | 22% |
| Unknown | 11 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 20% |
| Medicine and Dentistry | 6 | 11% |
| Computer Science | 5 | 9% |
| Engineering | 5 | 9% |
| Psychology | 4 | 7% |
| Other | 6 | 11% |
| Unknown | 17 | 31% |
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 28 January 2021.
All research outputs
#3,029,901
of 23,342,092 outputs
Outputs from Frontiers in Psychiatry
#1,645
of 10,456 outputs
Outputs of similar age
#63,340
of 341,037 outputs
Outputs of similar age from Frontiers in Psychiatry
#59
of 215 outputs
Altmetric has tracked 23,342,092 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 10,456 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 84% 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 341,037 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 81% of its contemporaries.
We're also able to compare this research output to 215 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 72% of its contemporaries.