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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Analyzing transfer learning impact in biomedical cross-lingual named entity recognition and normalization
|
|---|---|
| Published in |
BMC Bioinformatics, December 2021
|
| DOI | 10.1186/s12859-021-04247-9 |
| Pubmed ID | |
| Authors |
Renzo M. Rivera-Zavala, Paloma Martínez |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 3 | 27% |
| Switzerland | 1 | 9% |
| France | 1 | 9% |
| Sweden | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 4 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 5 | 19% |
| Lecturer | 3 | 11% |
| Student > Bachelor | 2 | 7% |
| Student > Ph. D. Student | 2 | 7% |
| Researcher | 2 | 7% |
| Other | 1 | 4% |
| Unknown | 12 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 5 | 19% |
| Computer Science | 4 | 15% |
| Medicine and Dentistry | 2 | 7% |
| Linguistics | 1 | 4% |
| Chemical Engineering | 1 | 4% |
| Other | 2 | 7% |
| Unknown | 12 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 30 December 2021.
All research outputs
#4,706,745
of 23,344,526 outputs
Outputs from BMC Bioinformatics
#1,771
of 7,388 outputs
Outputs of similar age
#107,100
of 477,769 outputs
Outputs of similar age from BMC Bioinformatics
#56
of 149 outputs
Altmetric has tracked 23,344,526 research outputs across all sources so far. Compared to these this one has done well and is in the 79th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,388 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 75% 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 477,769 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 77% of its contemporaries.
We're also able to compare this research output to 149 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.