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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Proteotranscriptomic-Based Computational Drug-Repositioning Method for Alzheimer’s Disease
|
|---|---|
| Published in |
Frontiers in Pharmacology, January 2020
|
| DOI | 10.3389/fphar.2019.01653 |
| Pubmed ID | |
| Authors |
Soo Youn Lee, Min-Young Song, Dain Kim, Chaewon Park, Da Kyeong Park, Dong Geun Kim, Jong Shin Yoo, Young Hye Kim |
X Demographics
The data shown below were collected from the profiles of 3 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 Kingdom | 1 | 33% |
| Switzerland | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 11% |
| Researcher | 6 | 10% |
| Student > Bachelor | 6 | 10% |
| Student > Master | 3 | 5% |
| Student > Doctoral Student | 2 | 3% |
| Other | 6 | 10% |
| Unknown | 31 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 10 | 16% |
| Medicine and Dentistry | 7 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 5% |
| Computer Science | 2 | 3% |
| Business, Management and Accounting | 1 | 2% |
| Other | 5 | 8% |
| Unknown | 33 | 54% |
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 22 September 2021.
All research outputs
#2,834,142
of 23,192,960 outputs
Outputs from Frontiers in Pharmacology
#1,123
of 16,613 outputs
Outputs of similar age
#69,283
of 451,923 outputs
Outputs of similar age from Frontiers in Pharmacology
#43
of 447 outputs
Altmetric has tracked 23,192,960 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 16,613 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 93% 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 451,923 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 84% of its contemporaries.
We're also able to compare this research output to 447 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 90% of its contemporaries.