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| Title |
Functional characterization of Alzheimer’s disease genetic variants in microglia
|
|---|---|
| Published in |
Nature Genetics, September 2023
|
| DOI | 10.1038/s41588-023-01506-8 |
| Pubmed ID | |
| Authors |
Xiaoyu Yang, Jia Wen, Han Yang, Ian R. Jones, Xiaodong Zhu, Weifang Liu, Bingkun Li, Claire D. Clelland, Wenjie Luo, Man Ying Wong, Xingjie Ren, Xiekui Cui, Michael Song, Hongjiang Liu, Cady Chen, Nicolas Eng, Mirunalini Ravichandran, Yang Sun, David Lee, Eric Van Buren, Min-Zhi Jiang, Candace S. Y. Chan, Chun Jimmie Ye, Rushika M. Perera, Li Gan, Yun Li, Yin Shen |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 17 | 15% |
| France | 1 | <1% |
| China | 1 | <1% |
| Unknown | 93 | 83% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 62 | 55% |
| Members of the public | 44 | 39% |
| Science communicators (journalists, bloggers, editors) | 5 | 4% |
| Practitioners (doctors, other healthcare professionals) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 65 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 13 | 20% |
| Student > Ph. D. Student | 11 | 17% |
| Student > Bachelor | 5 | 8% |
| Professor > Associate Professor | 5 | 8% |
| Student > Postgraduate | 4 | 6% |
| Other | 9 | 14% |
| Unknown | 18 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 18% |
| Neuroscience | 10 | 15% |
| Agricultural and Biological Sciences | 7 | 11% |
| Engineering | 4 | 6% |
| Medicine and Dentistry | 4 | 6% |
| Other | 10 | 15% |
| Unknown | 18 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 164. 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 13 March 2024.
All research outputs
#266,482
of 26,627,710 outputs
Outputs from Nature Genetics
#459
of 7,769 outputs
Outputs of similar age
#4,911
of 366,583 outputs
Outputs of similar age from Nature Genetics
#14
of 71 outputs
Altmetric has tracked 26,627,710 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,769 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 44.7. This one has done particularly well, scoring higher than 94% 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 366,583 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 98% of its contemporaries.
We're also able to compare this research output to 71 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.