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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Recent Advances of Deep Learning in Bioinformatics and Computational Biology
|
|---|---|
| Published in |
Frontiers in Genetics, March 2019
|
| DOI | 10.3389/fgene.2019.00214 |
| Pubmed ID | |
| Authors |
Binhua Tang, Zixiang Pan, Kang Yin, Asif Khateeb |
X Demographics
The data shown below were collected from the profiles of 12 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 | 2 | 17% |
| Spain | 1 | 8% |
| Switzerland | 1 | 8% |
| India | 1 | 8% |
| Russia | 1 | 8% |
| Japan | 1 | 8% |
| Unknown | 5 | 42% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 67% |
| Scientists | 4 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 375 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 375 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 72 | 19% |
| Student > Master | 49 | 13% |
| Researcher | 47 | 13% |
| Student > Bachelor | 30 | 8% |
| Student > Doctoral Student | 19 | 5% |
| Other | 48 | 13% |
| Unknown | 110 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 86 | 23% |
| Computer Science | 66 | 18% |
| Engineering | 30 | 8% |
| Agricultural and Biological Sciences | 29 | 8% |
| Medicine and Dentistry | 9 | 2% |
| Other | 32 | 9% |
| Unknown | 123 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 22 June 2023.
All research outputs
#5,881,224
of 24,093,053 outputs
Outputs from Frontiers in Genetics
#1,637
of 12,936 outputs
Outputs of similar age
#105,378
of 355,343 outputs
Outputs of similar age from Frontiers in Genetics
#71
of 359 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,936 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 87% 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 355,343 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 70% of its contemporaries.
We're also able to compare this research output to 359 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.