The data shown below were collected from the profiles of 28 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Explainable Artificial Intelligence (XAI) 2.0: A manifesto of open challenges and interdisciplinary research directions
|
|---|---|
| Published in |
Information Fusion, June 2024
|
| DOI | 10.1016/j.inffus.2024.102301 |
| Authors |
Luca Longo, Mario Brcic, Federico Cabitza, Jaesik Choi, Roberto Confalonieri, Javier Del Ser, Riccardo Guidotti, Yoichi Hayashi, Francisco Herrera, Andreas Holzinger, Richard Jiang, Hassan Khosravi, Freddy Lecue, Gianclaudio Malgieri, Andrés Páez, Wojciech Samek, Johannes Schneider, Timo Speith, Simone Stumpf |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 4% |
| Spain | 1 | 4% |
| Italy | 1 | 4% |
| Germany | 1 | 4% |
| Unknown | 24 | 86% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 61% |
| Scientists | 8 | 29% |
| Science communicators (journalists, bloggers, editors) | 3 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 141 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 141 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 12% |
| Unspecified | 15 | 11% |
| Researcher | 15 | 11% |
| Student > Bachelor | 10 | 7% |
| Other | 6 | 4% |
| Other | 15 | 11% |
| Unknown | 63 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 25 | 18% |
| Unspecified | 14 | 10% |
| Engineering | 9 | 6% |
| Business, Management and Accounting | 6 | 4% |
| Agricultural and Biological Sciences | 5 | 4% |
| Other | 13 | 9% |
| Unknown | 69 | 49% |
Attention Score in Context
This research output has an Altmetric Attention Score of 56. 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 28 June 2024.
All research outputs
#796,611
of 26,214,973 outputs
Outputs from Information Fusion
#8
of 586 outputs
Outputs of similar age
#8,620
of 246,840 outputs
Outputs of similar age from Information Fusion
#1
of 30 outputs
Altmetric has tracked 26,214,973 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 586 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.2. 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 246,840 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 96% of its contemporaries.
We're also able to compare this research output to 30 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 96% of its contemporaries.