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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Advancing TinyMLOps: Robust Model Updates in the Internet of Intelligent Vehicles
|
|---|---|
| Published in |
IEEE Micro, January 2024
|
| DOI | 10.1109/mm.2024.3354323 |
| Authors |
Thommas K. S. Flores, Ivanovitch Silva, Mariana B. Azevedo, Thais de A. de Medeiros, Morsinaldo de A. Medeiros, Daniel G. Costa, Paolo Ferrari, Emiliano Sisinni |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 3 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 1 | 33% |
| Unknown | 2 | 67% |
| Readers by discipline | Count | As % |
|---|---|---|
| Chemistry | 1 | 33% |
| Unknown | 2 | 67% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 18 January 2024.
All research outputs
#17,302,400
of 25,394,764 outputs
Outputs from IEEE Micro
#878
of 1,047 outputs
Outputs of similar age
#156,180
of 301,693 outputs
Outputs of similar age from IEEE Micro
#1
of 1 outputs
Altmetric has tracked 25,394,764 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,047 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 14th percentile – i.e., 14% of its peers scored the same or lower than it.
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 301,693 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 35th percentile – i.e., 35% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 1 others from the same source and published within six weeks on either side of this one. This one has scored higher than all of them