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X Demographics
Mendeley readers
Attention Score in Context
| Title |
SicknessMiner: a deep-learning-driven text-mining tool to abridge disease-disease associations
|
|---|---|
| Published in |
BMC Bioinformatics, October 2021
|
| DOI | 10.1186/s12859-021-04397-w |
| Pubmed ID | |
| Authors |
Nícia Rosário-Ferreira, Victor Guimarães, Vítor S. Costa, Irina S. Moreira |
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 % |
|---|---|---|
| Portugal | 1 | 20% |
| France | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Researcher | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Unspecified | 2 | 9% |
| Other | 2 | 9% |
| Other | 1 | 4% |
| Unknown | 10 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 17% |
| Agricultural and Biological Sciences | 3 | 13% |
| Unspecified | 2 | 9% |
| Business, Management and Accounting | 1 | 4% |
| Chemistry | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 12 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 11 October 2021.
All research outputs
#7,077,478
of 23,310,485 outputs
Outputs from BMC Bioinformatics
#2,715
of 7,382 outputs
Outputs of similar age
#140,954
of 433,934 outputs
Outputs of similar age from BMC Bioinformatics
#63
of 162 outputs
Altmetric has tracked 23,310,485 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,382 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 62% 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 433,934 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 67% 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 gotten more attention than average, scoring higher than 60% of its contemporaries.