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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DEGnext: classification of differentially expressed genes from RNA-seq data using a convolutional neural network with transfer learning
|
|---|---|
| Published in |
BMC Bioinformatics, January 2022
|
| DOI | 10.1186/s12859-021-04527-4 |
| Pubmed ID | |
| Authors |
Tulika Kakati, Dhruba K. Bhattacharyya, Jugal K. Kalita, Trina M. Norden-Krichmar |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 2 | 22% |
| Germany | 1 | 11% |
| Belgium | 1 | 11% |
| Sweden | 1 | 11% |
| Netherlands | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 78% |
| Scientists | 2 | 22% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 20% |
| Student > Master | 5 | 13% |
| Student > Ph. D. Student | 4 | 10% |
| Other | 2 | 5% |
| Student > Bachelor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 16 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 15% |
| Computer Science | 5 | 13% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Unspecified | 1 | 3% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
| Other | 4 | 10% |
| Unknown | 19 | 48% |
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 19 January 2023.
All research outputs
#8,438,681
of 25,197,939 outputs
Outputs from BMC Bioinformatics
#3,205
of 7,660 outputs
Outputs of similar age
#181,180
of 517,132 outputs
Outputs of similar age from BMC Bioinformatics
#65
of 145 outputs
Altmetric has tracked 25,197,939 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 7,660 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 50% 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 517,132 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 60% of its contemporaries.
We're also able to compare this research output to 145 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 54% of its contemporaries.