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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Clinical characteristics and genotype-phenotype correlation analysis of familial Alzheimer’s disease patients with pathogenic/likely pathogenic amyloid protein precursor mutations
|
|---|---|
| Published in |
Frontiers in Aging Neuroscience, October 2022
|
| DOI | 10.3389/fnagi.2022.1013295 |
| Pubmed ID | |
| Authors |
Yingzi Liu, Xuewen Xiao, Hui Liu, Xinxin Liao, Yafang Zhou, Ling Weng, Lu Zhou, Xixi Liu, Xiang-yun Bi, Tianyan Xu, Yuan Zhu, Qijie Yang, Sizhe Zhang, Xiaoli Hao, Weiwei Zhang, Junling Wang, Bin Jiao, Lu Shen |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 20% |
| Student > Bachelor | 2 | 20% |
| Unspecified | 1 | 10% |
| Lecturer | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 2 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 2 | 20% |
| Chemical Engineering | 1 | 10% |
| Unspecified | 1 | 10% |
| Nursing and Health Professions | 1 | 10% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 2 | 20% |
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 04 November 2022.
All research outputs
#3,160,429
of 23,041,514 outputs
Outputs from Frontiers in Aging Neuroscience
#1,633
of 4,854 outputs
Outputs of similar age
#64,666
of 438,998 outputs
Outputs of similar age from Frontiers in Aging Neuroscience
#80
of 334 outputs
Altmetric has tracked 23,041,514 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 4,854 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 gotten more attention than average, scoring higher than 64% 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 438,998 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 85% of its contemporaries.
We're also able to compare this research output to 334 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 71% of its contemporaries.