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X Demographics
Mendeley readers
Attention Score in Context
| Title |
ELECTRA-DTA: a new compound-protein binding affinity prediction model based on the contextualized sequence encoding
|
|---|---|
| Published in |
Journal of Cheminformatics, March 2022
|
| DOI | 10.1186/s13321-022-00591-x |
| Pubmed ID | |
| Authors |
Junjie Wang, NaiFeng Wen, Chunyu Wang, Lingling Zhao, Liang Cheng |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Science communicators (journalists, bloggers, editors) | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 21% |
| Student > Ph. D. Student | 7 | 17% |
| Student > Master | 3 | 7% |
| Student > Bachelor | 2 | 5% |
| Student > Doctoral Student | 2 | 5% |
| Other | 6 | 14% |
| Unknown | 13 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 6 | 14% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Computer Science | 4 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 4 | 10% |
| Social Sciences | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 14 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 16 March 2022.
All research outputs
#18,531,643
of 23,796,227 outputs
Outputs from Journal of Cheminformatics
#841
of 877 outputs
Outputs of similar age
#301,845
of 445,649 outputs
Outputs of similar age from Journal of Cheminformatics
#21
of 21 outputs
Altmetric has tracked 23,796,227 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 877 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.0. This one is in the 3rd percentile – i.e., 3% of its peers scored the same or lower than it.
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 445,649 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 21 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.