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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Prediction of the Antioxidant Response Elements' Response of Compound by Deep Learning
|
|---|---|
| Published in |
Frontiers in Chemistry, May 2019
|
| DOI | 10.3389/fchem.2019.00385 |
| Pubmed ID | |
| Authors |
Fang Bai, Ding Hong, Yingying Lu, Huanxiang Liu, Cunlu Xu, Xiaojun Yao |
X Demographics
The data shown below were collected from the profiles of 4 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 | 25% |
| United States | 1 | 25% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 29 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 4 | 14% |
| Other | 3 | 10% |
| Student > Doctoral Student | 2 | 7% |
| Student > Bachelor | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Other | 5 | 17% |
| Unknown | 11 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 5 | 17% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 7% |
| Engineering | 2 | 7% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 5 | 17% |
| Unknown | 12 | 41% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 31 May 2019.
All research outputs
#15,030,956
of 23,885,338 outputs
Outputs from Frontiers in Chemistry
#1,106
of 6,314 outputs
Outputs of similar age
#195,230
of 352,761 outputs
Outputs of similar age from Frontiers in Chemistry
#48
of 152 outputs
Altmetric has tracked 23,885,338 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 6,314 research outputs from this source. They receive a mean Attention Score of 2.1. This one has done well, scoring higher than 80% 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 352,761 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 41st percentile – i.e., 41% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 152 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 65% of its contemporaries.