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 |
A classification model for lncRNA and mRNA based on k-mers and a convolutional neural network
|
---|---|
Published in |
BMC Bioinformatics, September 2019
|
DOI | 10.1186/s12859-019-3039-3 |
Pubmed ID | |
Authors |
Jianghui Wen, Yeshu Liu, Yu Shi, Haoran Huang, Bing Deng, Xinping Xiao |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 25% |
France | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 75% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 7 | 16% |
Student > Master | 7 | 16% |
Student > Ph. D. Student | 6 | 14% |
Student > Bachelor | 5 | 11% |
Student > Doctoral Student | 2 | 5% |
Other | 5 | 11% |
Unknown | 12 | 27% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 18% |
Biochemistry, Genetics and Molecular Biology | 6 | 14% |
Agricultural and Biological Sciences | 6 | 14% |
Pharmacology, Toxicology and Pharmaceutical Science | 2 | 5% |
Immunology and Microbiology | 2 | 5% |
Other | 5 | 11% |
Unknown | 15 | 34% |
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 27 July 2021.
All research outputs
#13,076,718
of 23,163,378 outputs
Outputs from BMC Bioinformatics
#3,803
of 7,342 outputs
Outputs of similar age
#157,338
of 340,389 outputs
Outputs of similar age from BMC Bioinformatics
#62
of 102 outputs
Altmetric has tracked 23,163,378 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,342 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 47th percentile – i.e., 47% 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 340,389 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 53% of its contemporaries.
We're also able to compare this research output to 102 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.