↓ Skip to main content

DeepOMe: A Web Server for the Prediction of 2′-O-Me Sites Based on the Hybrid CNN and BLSTM Architecture

Overview of attention for article published in Frontiers in Cell and Developmental Biology, May 2021
Altmetric Badge

About this Attention Score

  • Above-average Attention Score compared to outputs of the same age (54th percentile)
  • Good Attention Score compared to outputs of the same age and source (74th percentile)

Mentioned by

twitter
3 X users

Citations

dimensions_citation
12 Dimensions

Readers on

mendeley
6 Mendeley
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.
Title
DeepOMe: A Web Server for the Prediction of 2′-O-Me Sites Based on the Hybrid CNN and BLSTM Architecture
Published in
Frontiers in Cell and Developmental Biology, May 2021
DOI 10.3389/fcell.2021.686894
Pubmed ID
Authors

Hongyu Li, Li Chen, Zaoli Huang, Xiaotong Luo, Huiqin Li, Jian Ren, Yubin Xie

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 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Unspecified 1 17%
Researcher 1 17%
Other 1 17%
Student > Doctoral Student 1 17%
Unknown 2 33%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Computer Science 1 17%
Unspecified 1 17%
Unknown 2 33%
Attention Score in Context

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 01 June 2021.
All research outputs
#13,510,424
of 23,308,124 outputs
Outputs from Frontiers in Cell and Developmental Biology
#2,267
of 9,293 outputs
Outputs of similar age
#196,311
of 441,410 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#210
of 892 outputs
Altmetric has tracked 23,308,124 research outputs across all sources so far. This one is in the 41st percentile – i.e., 41% of other outputs scored the same or lower than it.
So far Altmetric has tracked 9,293 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 73% 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 441,410 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 54% of its contemporaries.
We're also able to compare this research output to 892 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 74% of its contemporaries.