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 |
Towards a robust out-of-the-box neural network model for genomic data
|
|---|---|
| Published in |
BMC Bioinformatics, April 2022
|
| DOI | 10.1186/s12859-022-04660-8 |
| Pubmed ID | |
| Authors |
Zhaoyi Zhang, Songyang Cheng, Claudia Solis-Lemus |
X Demographics
The data shown below were collected from the profiles of 34 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 | 5 | 15% |
| United Kingdom | 3 | 9% |
| France | 2 | 6% |
| Netherlands | 1 | 3% |
| India | 1 | 3% |
| Spain | 1 | 3% |
| Norway | 1 | 3% |
| Canada | 1 | 3% |
| Sweden | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 17 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 71% |
| Scientists | 10 | 29% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 17% |
| Student > Bachelor | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Master | 2 | 9% |
| Professor | 1 | 4% |
| Other | 3 | 13% |
| Unknown | 8 | 35% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 30% |
| Computer Science | 5 | 22% |
| Agricultural and Biological Sciences | 2 | 9% |
| Unspecified | 1 | 4% |
| Unknown | 8 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 26. 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 May 2022.
All research outputs
#1,380,530
of 24,180,797 outputs
Outputs from BMC Bioinformatics
#189
of 7,508 outputs
Outputs of similar age
#32,869
of 431,825 outputs
Outputs of similar age from BMC Bioinformatics
#3
of 119 outputs
Altmetric has tracked 24,180,797 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,508 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 done particularly well, scoring higher than 97% 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 431,825 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 92% of its contemporaries.
We're also able to compare this research output to 119 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.