| Title |
Neural sentence embedding models for semantic similarity estimation in the biomedical domain
|
|---|---|
| Published in |
BMC Bioinformatics, April 2019
|
| DOI | 10.1186/s12859-019-2789-2 |
| Pubmed ID | |
| Authors |
Kathrin Blagec, Hong Xu, Asan Agibetov, Matthias Samwald |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
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 > Master | 10 | 21% |
| Researcher | 6 | 13% |
| Student > Ph. D. Student | 6 | 13% |
| Other | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 6 | 13% |
| Unknown | 15 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 42% |
| Agricultural and Biological Sciences | 4 | 8% |
| Engineering | 2 | 4% |
| Nursing and Health Professions | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 2 | 4% |
| Unknown | 16 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 November 2021.
All research outputs
#15,484,842
of 24,541,341 outputs
Outputs from BMC Bioinformatics
#4,891
of 7,551 outputs
Outputs of similar age
#202,305
of 358,256 outputs
Outputs of similar age from BMC Bioinformatics
#93
of 163 outputs
Altmetric has tracked 24,541,341 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,551 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one is in the 31st percentile – i.e., 31% 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 358,256 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 163 others from the same source and published within six weeks on either side of this one. This one is in the 39th percentile – i.e., 39% of its contemporaries scored the same or lower than it.