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X Demographics
Mendeley readers
Attention Score in Context
Title |
DeepPN: a deep parallel neural network based on convolutional neural network and graph convolutional network for predicting RNA-protein binding sites
|
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Published in |
BMC Bioinformatics, June 2022
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DOI | 10.1186/s12859-022-04798-5 |
Pubmed ID | |
Authors |
Jidong Zhang, Bo Liu, Zhihan Wang, Klaus Lehnert, Mark Gahegan |
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 % |
---|---|---|
India | 1 | 20% |
Sweden | 1 | 20% |
United Kingdom | 1 | 20% |
Unknown | 2 | 40% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 3 | 60% |
Members of the public | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 23% |
Researcher | 2 | 15% |
Unspecified | 1 | 8% |
Student > Master | 1 | 8% |
Student > Bachelor | 1 | 8% |
Other | 2 | 15% |
Unknown | 3 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 6 | 46% |
Biochemistry, Genetics and Molecular Biology | 2 | 15% |
Unspecified | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 3 | 23% |
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 01 July 2022.
All research outputs
#14,600,527
of 23,989,683 outputs
Outputs from BMC Bioinformatics
#4,563
of 7,491 outputs
Outputs of similar age
#197,343
of 426,629 outputs
Outputs of similar age from BMC Bioinformatics
#87
of 158 outputs
Altmetric has tracked 23,989,683 research outputs across all sources so far. This one is in the 38th percentile – i.e., 38% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,491 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 38th percentile – i.e., 38% 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 426,629 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 52% of its contemporaries.
We're also able to compare this research output to 158 others from the same source and published within six weeks on either side of this one. This one is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.