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X Demographics
Mendeley readers
Attention Score in Context
| Title |
E674Q (Shanghai APP mutant), a novel amyloid precursor protein mutation, in familial late-onset Alzheimer's disease
|
|---|---|
| Published in |
Genes & Diseases, April 2023
|
| DOI | 10.1016/j.gendis.2023.02.051 |
| Pubmed ID | |
| Authors |
Yongfang Zhang, Xinyi Xie, Boyu Chen, Lina Pan, Jianping Li, Wanbing Wang, Jintao Wang, Ran Tang, Qiang Huang, Xiaofen Chen, Rujing Ren, Zhentao Zhang, Wei Fu, Gang Wang |
X Demographics
The data shown below were collected from the profiles of 14 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 7% |
| India | 1 | 7% |
| Mexico | 1 | 7% |
| Unknown | 11 | 79% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 10 | 71% |
| Scientists | 3 | 21% |
| Practitioners (doctors, other healthcare professionals) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 14% |
| Student > Ph. D. Student | 1 | 7% |
| Researcher | 1 | 7% |
| Unknown | 10 | 71% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 14% |
| Biochemistry, Genetics and Molecular Biology | 1 | 7% |
| Agricultural and Biological Sciences | 1 | 7% |
| Unknown | 10 | 71% |
Attention Score in Context
This research output has an Altmetric Attention Score of 62. 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 27 March 2024.
All research outputs
#703,333
of 25,738,558 outputs
Outputs from Genes & Diseases
#9
of 447 outputs
Outputs of similar age
#15,429
of 422,723 outputs
Outputs of similar age from Genes & Diseases
#1
of 47 outputs
Altmetric has tracked 25,738,558 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 447 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 97% 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 422,723 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 96% of its contemporaries.
We're also able to compare this research output to 47 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 97% of its contemporaries.