| Title |
Gene2vec: distributed representation of genes based on co-expression
|
|---|---|
| Published in |
BMC Genomics, February 2019
|
| DOI | 10.1186/s12864-018-5370-x |
| Pubmed ID | |
| Authors |
Jingcheng Du, Peilin Jia, Yulin Dai, Cui Tao, Zhongming Zhao, Degui Zhi |
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 States | 4 | 44% |
| New Zealand | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 56% |
| Members of the public | 4 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 251 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 251 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 19% |
| Researcher | 44 | 18% |
| Student > Master | 26 | 10% |
| Student > Bachelor | 18 | 7% |
| Student > Doctoral Student | 10 | 4% |
| Other | 28 | 11% |
| Unknown | 78 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 54 | 22% |
| Computer Science | 54 | 22% |
| Agricultural and Biological Sciences | 21 | 8% |
| Engineering | 9 | 4% |
| Medicine and Dentistry | 7 | 3% |
| Other | 25 | 10% |
| Unknown | 81 | 32% |
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 01 November 2023.
All research outputs
#5,669,541
of 23,257,423 outputs
Outputs from BMC Genomics
#2,267
of 10,734 outputs
Outputs of similar age
#116,978
of 438,813 outputs
Outputs of similar age from BMC Genomics
#58
of 228 outputs
Altmetric has tracked 23,257,423 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 10,734 research outputs from this source. They receive a mean Attention Score of 4.7. This one has done well, scoring higher than 78% 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 438,813 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 73% of its contemporaries.
We're also able to compare this research output to 228 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.