Explainable Artificial Intelligence
Springer Nature Switzerland
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X Demographics
Mendeley readers
Attention Score in Context
| Chapter title |
Beyond the Veil of Similarity: Quantifying Semantic Continuity in Explainable AI
|
|---|---|
| Chapter number | 16 |
| Book title |
Explainable Artificial Intelligence
|
| Published in |
Communications in Computer and Information Science, July 2024
|
| DOI | 10.1007/978-3-031-63787-2_16 |
| Book ISBNs |
978-3-03-163786-5, 978-3-03-163787-2
|
| Authors |
Huang, Qi, Mezzi, Emanuele, Mutlu, Osman, Kofinas, Miltiadis, Prasad, Vidya, Khan, Shadnan Azwad, Ranguelova, Elena, van Stein, Niki, Qi Huang, Emanuele Mezzi, Osman Mutlu, Miltiadis Kofinas, Vidya Prasad, Shadnan Azwad Khan, Elena Ranguelova, Niki van Stein |
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.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 1 Mendeley reader of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 100% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 1 | 100% |
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 19 July 2024.
All research outputs
#16,537,405
of 26,533,029 outputs
Outputs from Communications in Computer and Information Science
#336
of 786 outputs
Outputs of similar age
#118,637
of 287,024 outputs
Outputs of similar age from Communications in Computer and Information Science
#9
of 22 outputs
Altmetric has tracked 26,533,029 research outputs across all sources so far. This one is in the 36th percentile – i.e., 36% of other outputs scored the same or lower than it.
So far Altmetric has tracked 786 research outputs from this source. They receive a mean Attention Score of 3.4. This one has gotten more attention than average, scoring higher than 56% 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 287,024 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 57% of its contemporaries.
We're also able to compare this research output to 22 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 59% of its contemporaries.