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Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator

Overview of attention for article published in Frontiers in Computer Science, December 2021
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  • Average Attention Score compared to outputs of the same age
  • Above-average Attention Score compared to outputs of the same age and source (55th percentile)

Mentioned by

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3 X users

Citations

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24 Dimensions

Readers on

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37 Mendeley
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Title
Building an Artificial Intelligence Laboratory Based on Real World Data: The Experience of Gemelli Generator
Published in
Frontiers in Computer Science, December 2021
DOI 10.3389/fcomp.2021.768266
Authors

A. Damiani, C. Masciocchi, J. Lenkowicz, N. D. Capocchiano, L. Boldrini, L. Tagliaferri, A. Cesario, P. Sergi, A. Marchetti, A. Luraschi, S. Patarnello, V. Valentini

Timeline

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X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 37 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 19%
Other 2 5%
Lecturer 2 5%
Student > Doctoral Student 1 3%
Student > Ph. D. Student 1 3%
Other 1 3%
Unknown 23 62%
Readers by discipline Count As %
Medicine and Dentistry 5 14%
Engineering 3 8%
Computer Science 2 5%
Nursing and Health Professions 1 3%
Biochemistry, Genetics and Molecular Biology 1 3%
Other 1 3%
Unknown 24 65%
Attention Score in Context

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 08 September 2023.
All research outputs
#16,885,532
of 26,588,548 outputs
Outputs from Frontiers in Computer Science
#166
of 591 outputs
Outputs of similar age
#279,703
of 530,921 outputs
Outputs of similar age from Frontiers in Computer Science
#19
of 45 outputs
Altmetric has tracked 26,588,548 research outputs across all sources so far. This one is in the 34th percentile – i.e., 34% of other outputs scored the same or lower than it.
So far Altmetric has tracked 591 research outputs from this source. They receive a mean Attention Score of 4.4. This one has gotten more attention than average, scoring higher than 67% 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 530,921 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 45 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 55% of its contemporaries.