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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Linking entities through an ontology using word embeddings and syntactic re-ranking
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2678-8 |
| Pubmed ID | |
| Authors |
İlknur Karadeniz, Arzucan Özgür |
X Demographics
The data shown below were collected from the profiles of 3 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 | 1 | 33% |
| United Kingdom | 1 | 33% |
| Unknown | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 84 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 84 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 15 | 18% |
| Student > Master | 12 | 14% |
| Researcher | 10 | 12% |
| Student > Doctoral Student | 6 | 7% |
| Other | 6 | 7% |
| Other | 13 | 15% |
| Unknown | 22 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 35% |
| Agricultural and Biological Sciences | 7 | 8% |
| Engineering | 5 | 6% |
| Linguistics | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 14 | 17% |
| Unknown | 25 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 12. 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 22 March 2023.
All research outputs
#2,879,442
of 23,905,640 outputs
Outputs from BMC Bioinformatics
#919
of 7,485 outputs
Outputs of similar age
#63,660
of 355,040 outputs
Outputs of similar age from BMC Bioinformatics
#27
of 162 outputs
Altmetric has tracked 23,905,640 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 7,485 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 87% 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 355,040 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 162 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.