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Correction to: ncDLRES: a novel method for non‑coding RNAs family prediction based on dynamic LSTM and ResNet

Overview of attention for article published in BMC Bioinformatics, December 2021
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3 X users

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2 Mendeley
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Title
Correction to: ncDLRES: a novel method for non‑coding RNAs family prediction based on dynamic LSTM and ResNet
Published in
BMC Bioinformatics, December 2021
DOI 10.1186/s12859-021-04495-9
Pubmed ID
Authors

Linyu Wang, Xiaodan Zhong, Shuo Wang, Yuanning Liu

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Lecturer 1 50%
Readers by discipline Count As %
Computer Science 1 50%
Engineering 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 08 December 2021.
All research outputs
#17,648,479
of 22,653,392 outputs
Outputs from BMC Bioinformatics
#5,910
of 7,236 outputs
Outputs of similar age
#333,835
of 495,987 outputs
Outputs of similar age from BMC Bioinformatics
#154
of 165 outputs
Altmetric has tracked 22,653,392 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,236 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 495,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 28th percentile – i.e., 28% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 165 others from the same source and published within six weeks on either side of this one. This one is in the 3rd percentile – i.e., 3% of its contemporaries scored the same or lower than it.