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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CollaboNet: collaboration of deep neural networks for biomedical named entity recognition
|
|---|---|
| Published in |
BMC Bioinformatics, May 2019
|
| DOI | 10.1186/s12859-019-2813-6 |
| Pubmed ID | |
| Authors |
Wonjin Yoon, Chan Ho So, Jinhyuk Lee, Jaewoo Kang |
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 % |
|---|---|---|
| India | 2 | 17% |
| France | 1 | 8% |
| United Kingdom | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 153 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 153 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 31 | 20% |
| Student > Ph. D. Student | 24 | 16% |
| Researcher | 20 | 13% |
| Student > Bachelor | 10 | 7% |
| Student > Doctoral Student | 5 | 3% |
| Other | 14 | 9% |
| Unknown | 49 | 32% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 66 | 43% |
| Engineering | 7 | 5% |
| Agricultural and Biological Sciences | 4 | 3% |
| Biochemistry, Genetics and Molecular Biology | 4 | 3% |
| Business, Management and Accounting | 3 | 2% |
| Other | 13 | 8% |
| Unknown | 56 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 04 May 2021.
All research outputs
#3,188,817
of 24,998,746 outputs
Outputs from BMC Bioinformatics
#1,014
of 7,630 outputs
Outputs of similar age
#63,608
of 356,226 outputs
Outputs of similar age from BMC Bioinformatics
#34
of 205 outputs
Altmetric has tracked 24,998,746 research outputs across all sources so far. Compared to these this one has done well and is in the 87th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,630 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 done well, scoring higher than 86% 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 356,226 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 205 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.