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X Demographics
Mendeley readers
Attention Score in Context
| Title |
DTranNER: biomedical named entity recognition with deep learning-based label-label transition model
|
|---|---|
| Published in |
BMC Bioinformatics, February 2020
|
| DOI | 10.1186/s12859-020-3393-1 |
| Pubmed ID | |
| Authors |
S. K. Hong, Jae-Gil Lee |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 50% |
| United Kingdom | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Researcher | 6 | 14% |
| Student > Doctoral Student | 3 | 7% |
| Student > Bachelor | 3 | 7% |
| Professor | 2 | 5% |
| Other | 9 | 21% |
| Unknown | 13 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 10 | 24% |
| Biochemistry, Genetics and Molecular Biology | 3 | 7% |
| Engineering | 2 | 5% |
| Chemistry | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 15 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 14 February 2020.
All research outputs
#18,349,015
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#6,088
of 7,400 outputs
Outputs of similar age
#318,118
of 458,595 outputs
Outputs of similar age from BMC Bioinformatics
#88
of 120 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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 458,595 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 120 others from the same source and published within six weeks on either side of this one. This one is in the 19th percentile – i.e., 19% of its contemporaries scored the same or lower than it.