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 |
Biomedical named entity recognition using deep neural networks with contextual information
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3321-4 |
| Pubmed ID | |
| Authors |
Hyejin Cho, Hyunju Lee |
X Demographics
The data shown below were collected from the profile of 1 X user 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 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 138 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 138 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 20% |
| Student > Master | 14 | 10% |
| Researcher | 13 | 9% |
| Student > Bachelor | 12 | 9% |
| Student > Doctoral Student | 7 | 5% |
| Other | 18 | 13% |
| Unknown | 47 | 34% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 48 | 35% |
| Engineering | 8 | 6% |
| Biochemistry, Genetics and Molecular Biology | 7 | 5% |
| Medicine and Dentistry | 5 | 4% |
| Agricultural and Biological Sciences | 4 | 3% |
| Other | 13 | 9% |
| Unknown | 53 | 38% |
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 01 May 2023.
All research outputs
#15,938,876
of 23,661,575 outputs
Outputs from BMC Bioinformatics
#5,485
of 7,413 outputs
Outputs of similar age
#278,551
of 460,475 outputs
Outputs of similar age from BMC Bioinformatics
#131
of 211 outputs
Altmetric has tracked 23,661,575 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,413 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 17th percentile – i.e., 17% 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 460,475 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 30th percentile – i.e., 30% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 211 others from the same source and published within six weeks on either side of this one. This one is in the 29th percentile – i.e., 29% of its contemporaries scored the same or lower than it.