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X Demographics
Mendeley readers
Attention Score in Context
| Title |
In-silico target prediction by ensemble chemogenomic model based on multi-scale information of chemical structures and protein sequences
|
|---|---|
| Published in |
Journal of Cheminformatics, April 2023
|
| DOI | 10.1186/s13321-023-00720-0 |
| Pubmed ID | |
| Authors |
Su-Qing Yang, Liu-Xia Zhang, You-Jin Ge, Jin-Wei Zhang, Jian-Xin Hu, Cheng-Ying Shen, Ai-Ping Lu, Ting-Jun Hou, Dong-Sheng Cao |
X Demographics
The data shown below were collected from the profiles of 8 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 2 | 25% |
| Israel | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 3 | 38% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 2 | 11% |
| Unspecified | 1 | 6% |
| Student > Ph. D. Student | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 11 | 61% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 2 | 11% |
| Chemistry | 2 | 11% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 6% |
| Immunology and Microbiology | 1 | 6% |
| Unspecified | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 11 | 61% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 13 May 2023.
All research outputs
#7,678,794
of 24,664,952 outputs
Outputs from Journal of Cheminformatics
#593
of 917 outputs
Outputs of similar age
#131,572
of 395,048 outputs
Outputs of similar age from Journal of Cheminformatics
#11
of 25 outputs
Altmetric has tracked 24,664,952 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 917 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one is in the 34th percentile – i.e., 34% 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 395,048 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.
We're also able to compare this research output to 25 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 60% of its contemporaries.