You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
Title |
Discovery of moiety preference by Shapley value in protein kinase family using random forest models
|
---|---|
Published in |
BMC Bioinformatics, April 2022
|
DOI | 10.1186/s12859-022-04663-5 |
Pubmed ID | |
Authors |
Yu-Wei Huang, Yen-Chao Hsu, Yi-Hsuan Chuang, Yun-Ti Chen, Xiang-Yu Lin, You-Wei Fan, Nikhil Pathak, Jinn-Moon Yang |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 3 | 60% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 14 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 21% |
Researcher | 2 | 14% |
Professor > Associate Professor | 1 | 7% |
Student > Master | 1 | 7% |
Unknown | 7 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 21% |
Biochemistry, Genetics and Molecular Biology | 1 | 7% |
Business, Management and Accounting | 1 | 7% |
Social Sciences | 1 | 7% |
Unknown | 8 | 57% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 17 October 2022.
All research outputs
#14,435,674
of 24,631,014 outputs
Outputs from BMC Bioinformatics
#4,162
of 7,561 outputs
Outputs of similar age
#189,512
of 432,178 outputs
Outputs of similar age from BMC Bioinformatics
#60
of 125 outputs
Altmetric has tracked 24,631,014 research outputs across all sources so far. This one is in the 40th percentile – i.e., 40% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,561 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 42nd percentile – i.e., 42% 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 432,178 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 55% of its contemporaries.
We're also able to compare this research output to 125 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 50% of its contemporaries.