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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Artificial Intelligence-Based Application to Explore Inhibitors of Neurodegenerative Diseases
|
|---|---|
| Published in |
Frontiers in Neurorobotics, December 2020
|
| DOI | 10.3389/fnbot.2020.617327 |
| Pubmed ID | |
| Authors |
Leping Deng, Weihe Zhong, Lu Zhao, Xuedong He, Zongkai Lian, Shancheng Jiang, Calvin Yu-Chian Chen |
X Demographics
The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 6% |
| Kenya | 1 | 6% |
| Switzerland | 1 | 6% |
| Unknown | 13 | 81% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 12 | 75% |
| Science communicators (journalists, bloggers, editors) | 2 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
| Scientists | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 21% |
| Researcher | 4 | 12% |
| Student > Ph. D. Student | 3 | 9% |
| Student > Doctoral Student | 1 | 3% |
| Student > Bachelor | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 3 | 9% |
| Computer Science | 3 | 9% |
| Social Sciences | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 2 | 6% |
| Chemistry | 2 | 6% |
| Other | 7 | 21% |
| Unknown | 14 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 15 March 2022.
All research outputs
#2,062,676
of 23,342,232 outputs
Outputs from Frontiers in Neurorobotics
#28
of 908 outputs
Outputs of similar age
#58,294
of 504,490 outputs
Outputs of similar age from Frontiers in Neurorobotics
#1
of 40 outputs
Altmetric has tracked 23,342,232 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 908 research outputs from this source. They receive a mean Attention Score of 4.0. 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 504,490 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 40 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 99% of its contemporaries.