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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Identifying GPCR-drug interaction based on wordbook learning from sequences
|
|---|---|
| Published in |
BMC Bioinformatics, April 2020
|
| DOI | 10.1186/s12859-020-3488-8 |
| Pubmed ID | |
| Authors |
Pu Wang, Xiaotong Huang, Wangren Qiu, Xuan Xiao |
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 % |
|---|---|---|
| India | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 26% |
| Student > Bachelor | 3 | 16% |
| Student > Master | 3 | 16% |
| Student > Ph. D. Student | 2 | 11% |
| Other | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 3 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 16% |
| Computer Science | 3 | 16% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 11% |
| Chemistry | 2 | 11% |
| Social Sciences | 2 | 11% |
| Other | 3 | 16% |
| Unknown | 4 | 21% |
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 25 May 2023.
All research outputs
#7,386,762
of 23,862,416 outputs
Outputs from BMC Bioinformatics
#2,780
of 7,478 outputs
Outputs of similar age
#143,742
of 377,006 outputs
Outputs of similar age from BMC Bioinformatics
#46
of 122 outputs
Altmetric has tracked 23,862,416 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 7,478 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 61% 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 377,006 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 61% of its contemporaries.
We're also able to compare this research output to 122 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 62% of its contemporaries.