The data shown below were collected from the profiles of 9 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 |
Artificial Intelligence Applied to in vitro Gene Expression Testing (IVIGET) to Predict Trivalent Inactivated Influenza Vaccine Immunogenicity in HIV Infected Children
|
---|---|
Published in |
Frontiers in immunology, October 2020
|
DOI | 10.3389/fimmu.2020.559590 |
Pubmed ID | |
Authors |
Nicola Cotugno, Veronica Santilli, Giuseppe Rubens Pascucci, Emma Concetta Manno, Lesley De Armas, Suresh Pallikkuth, Annalisa Deodati, Donato Amodio, Paola Zangari, Sonia Zicari, Alessandra Ruggiero, Martina Fortin, Christina Bromley, Rajendra Pahwa, Paolo Rossi, Savita Pahwa, Paolo Palma |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 11% |
Unknown | 8 | 89% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 9 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 38 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 11% |
Researcher | 4 | 11% |
Student > Postgraduate | 4 | 11% |
Other | 2 | 5% |
Student > Master | 2 | 5% |
Other | 5 | 13% |
Unknown | 17 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Medicine and Dentistry | 5 | 13% |
Immunology and Microbiology | 5 | 13% |
Agricultural and Biological Sciences | 2 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 3% |
Other | 3 | 8% |
Unknown | 21 | 55% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 11 November 2020.
All research outputs
#2,363,220
of 25,838,141 outputs
Outputs from Frontiers in immunology
#2,355
of 32,474 outputs
Outputs of similar age
#61,017
of 435,479 outputs
Outputs of similar age from Frontiers in immunology
#115
of 864 outputs
Altmetric has tracked 25,838,141 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 32,474 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done particularly well, scoring higher than 92% 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 435,479 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 85% of its contemporaries.
We're also able to compare this research output to 864 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.