The data shown below were collected from the profiles of 11 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.
Timeline
X Demographics
Mendeley readers
Attention Score in Context
Title |
Continual prune-and-select: class-incremental learning with specialized subnetworks
|
---|---|
Published in |
Applied Intelligence, January 2023
|
DOI | 10.1007/s10489-022-04441-z |
Authors |
Aleksandr Dekhovich, David M.J. Tax, Marcel H.F Sluiter, Miguel A. Bessa |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
France | 2 | 18% |
United States | 1 | 9% |
India | 1 | 9% |
Belgium | 1 | 9% |
Netherlands | 1 | 9% |
Japan | 1 | 9% |
Unknown | 4 | 36% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 6 | 55% |
Scientists | 4 | 36% |
Practitioners (doctors, other healthcare professionals) | 1 | 9% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Postgraduate | 2 | 15% |
Student > Ph. D. Student | 2 | 15% |
Unspecified | 1 | 8% |
Researcher | 1 | 8% |
Student > Doctoral Student | 1 | 8% |
Other | 0 | 0% |
Unknown | 6 | 46% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 23% |
Unspecified | 1 | 8% |
Business, Management and Accounting | 1 | 8% |
Engineering | 1 | 8% |
Unknown | 7 | 54% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 20 February 2023.
All research outputs
#5,264,133
of 24,980,180 outputs
Outputs from Applied Intelligence
#32
of 1,936 outputs
Outputs of similar age
#107,499
of 470,426 outputs
Outputs of similar age from Applied Intelligence
#2
of 136 outputs
Altmetric has tracked 24,980,180 research outputs across all sources so far. Compared to these this one has done well and is in the 78th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,936 research outputs from this source. They receive a mean Attention Score of 0.9. 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 470,426 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 77% of its contemporaries.
We're also able to compare this research output to 136 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 99% of its contemporaries.