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.
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.
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Editorial: Cross-Modal Learning: Adaptivity, Prediction and Interaction
|
|---|---|
| Published in |
Frontiers in Neurorobotics, April 2022
|
| DOI | 10.3389/fnbot.2022.889911 |
| Pubmed ID | |
| Authors |
Jianwei Zhang, Stefan Wermter, Fuchun Sun, Changshui Zhang, Andreas K. Engel, Brigitte Röder, Xiaolan Fu, Gui Xue |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 20% |
| Switzerland | 1 | 20% |
| Unknown | 3 | 60% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Professor > Associate Professor | 1 | 25% |
| Researcher | 1 | 25% |
| Other | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 50% |
| Computer Science | 1 | 25% |
| Arts and Humanities | 1 | 25% |
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 22 April 2022.
All research outputs
#14,434,286
of 23,575,346 outputs
Outputs from Frontiers in Neurorobotics
#315
of 918 outputs
Outputs of similar age
#208,517
of 444,239 outputs
Outputs of similar age from Frontiers in Neurorobotics
#20
of 54 outputs
Altmetric has tracked 23,575,346 research outputs across all sources so far. This one is in the 37th percentile – i.e., 37% of other outputs scored the same or lower than it.
So far Altmetric has tracked 918 research outputs from this source. They receive a mean Attention Score of 4.1. 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 444,239 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 51% of its contemporaries.
We're also able to compare this research output to 54 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 57% of its contemporaries.