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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recognizing novel drugs against Keap1 in Alzheimer’s disease using machine learning grounded computational studies
|
|---|---|
| Published in |
Frontiers in Molecular Neuroscience, December 2022
|
| DOI | 10.3389/fnmol.2022.1036552 |
| Pubmed ID | |
| Authors |
Nobendu Mukerjee, Khattab Al-Khafaji, Swastika Maitra, Jaafar Suhail Wadi, Punya Sachdeva, Arabinda Ghosh, Rahul Subhash Buchade, Somdatta Yashwant Chaudhari, Shailaja B. Jadhav, Padmashree Das, Mohammad Mehedi Hasan, Habibur Rahman, Ghadeer M. Albadrani, Ahmed E. Altyar, Mohamed Kamel, Mohammad Algahtani, Khlood Shinan, Abdulrahman Theyab, Mohamed M. Abdel-Daim, Ghulam Md. Ashraf, Mominur Rahman, Rohit Sharma |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 26 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 12% |
| Student > Bachelor | 2 | 8% |
| Researcher | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 13 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 12% |
| Neuroscience | 3 | 12% |
| Biochemistry, Genetics and Molecular Biology | 2 | 8% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 8% |
| Unspecified | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 14 | 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 30 December 2022.
All research outputs
#3,030,319
of 23,454,152 outputs
Outputs from Frontiers in Molecular Neuroscience
#432
of 3,000 outputs
Outputs of similar age
#60,534
of 443,417 outputs
Outputs of similar age from Frontiers in Molecular Neuroscience
#12
of 151 outputs
Altmetric has tracked 23,454,152 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 3,000 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.7. This one has done well, scoring higher than 85% 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 443,417 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 86% of its contemporaries.
We're also able to compare this research output to 151 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 92% of its contemporaries.