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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Benchmarking for biomedical natural language processing tasks with a domain specific ALBERT
|
|---|---|
| Published in |
BMC Bioinformatics, April 2022
|
| DOI | 10.1186/s12859-022-04688-w |
| Pubmed ID | |
| Authors |
Usman Naseem, Adam G. Dunn, Matloob Khushi, Jinman Kim |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 20% |
| United States | 1 | 10% |
| India | 1 | 10% |
| Sweden | 1 | 10% |
| China | 1 | 10% |
| France | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 2 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 48 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 48 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 15% |
| Researcher | 6 | 13% |
| Student > Doctoral Student | 4 | 8% |
| Other | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 4 | 8% |
| Unknown | 22 | 46% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 4% |
| Agricultural and Biological Sciences | 2 | 4% |
| Business, Management and Accounting | 1 | 2% |
| Linguistics | 1 | 2% |
| Other | 5 | 10% |
| Unknown | 26 | 54% |
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 23 April 2022.
All research outputs
#6,876,892
of 24,272,486 outputs
Outputs from BMC Bioinformatics
#2,542
of 7,510 outputs
Outputs of similar age
#133,730
of 430,786 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 131 outputs
Altmetric has tracked 24,272,486 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 7,510 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 66% 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 430,786 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 68% of its contemporaries.
We're also able to compare this research output to 131 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.