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X Demographics
Mendeley readers
Attention Score in Context
Title |
OnionNet-2: A Convolutional Neural Network Model for Predicting Protein-Ligand Binding Affinity Based on Residue-Atom Contacting Shells
|
---|---|
Published in |
Frontiers in Chemistry, October 2021
|
DOI | 10.3389/fchem.2021.753002 |
Pubmed ID | |
Authors |
Zechen Wang, Liangzhen Zheng, Yang Liu, Yuanyuan Qu, Yong-Qiang Li, Mingwen Zhao, Yuguang Mu, Weifeng Li |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 20% |
Unknown | 4 | 80% |
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 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 13% |
Student > Bachelor | 4 | 10% |
Researcher | 4 | 10% |
Student > Doctoral Student | 2 | 5% |
Student > Master | 2 | 5% |
Other | 4 | 10% |
Unknown | 18 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 15% |
Biochemistry, Genetics and Molecular Biology | 5 | 13% |
Agricultural and Biological Sciences | 3 | 8% |
Chemistry | 3 | 8% |
Energy | 1 | 3% |
Other | 1 | 3% |
Unknown | 20 | 51% |
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 27 October 2021.
All research outputs
#16,059,145
of 25,387,668 outputs
Outputs from Frontiers in Chemistry
#1,228
of 6,769 outputs
Outputs of similar age
#231,970
of 443,124 outputs
Outputs of similar age from Frontiers in Chemistry
#64
of 346 outputs
Altmetric has tracked 25,387,668 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 6,769 research outputs from this source. They receive a mean Attention Score of 2.4. 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 443,124 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.