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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The Relationship Between Retinal Nerve Fiber Layer Thickness and Clinical Symptoms of Alzheimer's Disease
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, January 2021
|
| DOI | 10.3389/fnagi.2020.584244 |
| Pubmed ID | |
| Authors |
Teng-hong Lian, Zhao Jin, Yuan-zhen Qu, Peng Guo, Hui-ying Guan, Wei-jiao Zhang, Du-yu Ding, Da-ning Li, Li-xia Li, Xiao-min Wang, Wei Zhang |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 25% |
| Kenya | 1 | 25% |
| Switzerland | 1 | 25% |
| Turkey | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 10% |
| Unspecified | 2 | 7% |
| Student > Master | 2 | 7% |
| Student > Doctoral Student | 2 | 7% |
| Lecturer > Senior Lecturer | 1 | 3% |
| Other | 2 | 7% |
| Unknown | 17 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 7% |
| Nursing and Health Professions | 2 | 7% |
| Neuroscience | 2 | 7% |
| Computer Science | 2 | 7% |
| Medicine and Dentistry | 2 | 7% |
| Other | 2 | 7% |
| Unknown | 17 | 59% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 19 February 2021.
All research outputs
#2,846,578
of 23,275,636 outputs
Outputs from Frontiers in Aging Neuroscience
#1,174
of 4,930 outputs
Outputs of similar age
#80,802
of 505,468 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#56
of 170 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,930 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.2. This one has done well, scoring higher than 75% 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 505,468 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 83% of its contemporaries.
We're also able to compare this research output to 170 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 65% of its contemporaries.