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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BioByGANS: biomedical named entity recognition by fusing contextual and syntactic features through graph attention network in node classification framework
|
|---|---|
| Published in |
BMC Bioinformatics, November 2022
|
| DOI | 10.1186/s12859-022-05051-9 |
| Pubmed ID | |
| Authors |
Xiangwen Zheng, Haijian Du, Xiaowei Luo, Fan Tong, Wei Song, Dongsheng Zhao |
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 | 1 | 11% |
| Switzerland | 1 | 11% |
| Japan | 1 | 11% |
| United Kingdom | 1 | 11% |
| Sweden | 1 | 11% |
| Unknown | 4 | 44% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 67% |
| Members of the public | 3 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Researcher | 2 | 20% |
| Student > Postgraduate | 1 | 10% |
| Unknown | 5 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 2 | 20% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Computer Science | 1 | 10% |
| Agricultural and Biological Sciences | 1 | 10% |
| Unknown | 5 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 29 November 2022.
All research outputs
#7,119,860
of 24,900,093 outputs
Outputs from BMC Bioinformatics
#2,593
of 7,605 outputs
Outputs of similar age
#137,331
of 483,223 outputs
Outputs of similar age from BMC Bioinformatics
#36
of 159 outputs
Altmetric has tracked 24,900,093 research outputs across all sources so far. This one has received more attention than most of these and is in the 71st percentile.
So far Altmetric has tracked 7,605 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 65% 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 483,223 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 71% of its contemporaries.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.