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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial intelligence framework identifies candidate targets for drug repurposing in Alzheimer’s disease
|
|---|---|
| Published in |
Alzheimer's Research & Therapy, January 2022
|
| DOI | 10.1186/s13195-021-00951-z |
| Pubmed ID | |
| Authors |
Jiansong Fang, Pengyue Zhang, Quan Wang, Chien-Wei Chiang, Yadi Zhou, Yuan Hou, Jielin Xu, Rui Chen, Bin Zhang, Stephen J. Lewis, James B. Leverenz, Andrew A. Pieper, Bingshan Li, Lang Li, Jeffrey Cummings, Feixiong Cheng |
X Demographics
The data shown below were collected from the profiles of 9 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 | 2 | 22% |
| Colombia | 1 | 11% |
| United Kingdom | 1 | 11% |
| Unknown | 5 | 56% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 67% |
| Scientists | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 111 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 111 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 10% |
| Researcher | 10 | 9% |
| Other | 8 | 7% |
| Student > Master | 7 | 6% |
| Student > Bachelor | 5 | 5% |
| Other | 17 | 15% |
| Unknown | 53 | 48% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 10% |
| Biochemistry, Genetics and Molecular Biology | 8 | 7% |
| Computer Science | 5 | 5% |
| Medicine and Dentistry | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 63 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 11 June 2023.
All research outputs
#2,439,797
of 24,229,740 outputs
Outputs from Alzheimer's Research & Therapy
#553
of 1,343 outputs
Outputs of similar age
#59,930
of 509,513 outputs
Outputs of similar age from Alzheimer's Research & Therapy
#20
of 47 outputs
Altmetric has tracked 24,229,740 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,343 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 26.2. This one has gotten more attention than average, scoring higher than 58% 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 509,513 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 88% 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 gotten more attention than average, scoring higher than 57% of its contemporaries.