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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explainable AI for Bioinformatics: Methods, Tools and Applications
|
|---|---|
| Published in |
Briefings in Bioinformatics, July 2023
|
| DOI | 10.1093/bib/bbad236 |
| Pubmed ID | |
| Authors |
Md Rezaul Karim, Tanhim Islam, Md Shajalal, Oya Beyan, Christoph Lange, Michael Cochez, Dietrich Rebholz-Schuhmann, Stefan Decker |
X Demographics
The data shown below were collected from the profiles of 84 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 10% |
| Taiwan | 5 | 6% |
| Germany | 4 | 5% |
| Korea, Republic of | 3 | 4% |
| Spain | 2 | 2% |
| Peru | 2 | 2% |
| Netherlands | 2 | 2% |
| United Kingdom | 2 | 2% |
| India | 2 | 2% |
| Other | 11 | 13% |
| Unknown | 43 | 51% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 43 | 51% |
| Scientists | 39 | 46% |
| Science communicators (journalists, bloggers, editors) | 1 | 1% |
| Practitioners (doctors, other healthcare professionals) | 1 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 81 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 81 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 17% |
| Student > Master | 8 | 10% |
| Researcher | 7 | 9% |
| Student > Bachelor | 3 | 4% |
| Other | 2 | 2% |
| Other | 9 | 11% |
| Unknown | 38 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 15 | 19% |
| Computer Science | 8 | 10% |
| Engineering | 4 | 5% |
| Agricultural and Biological Sciences | 3 | 4% |
| Chemistry | 3 | 4% |
| Other | 8 | 10% |
| Unknown | 40 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 55. 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 16 January 2024.
All research outputs
#795,126
of 25,826,146 outputs
Outputs from Briefings in Bioinformatics
#38
of 2,965 outputs
Outputs of similar age
#15,230
of 366,514 outputs
Outputs of similar age from Briefings in Bioinformatics
#3
of 58 outputs
Altmetric has tracked 25,826,146 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 96th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,965 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 98% 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 366,514 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 95% of its contemporaries.
We're also able to compare this research output to 58 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 94% of its contemporaries.