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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exploratory analysis to identify the best antigen and the best immune biomarkers to study SARS-CoV-2 infection
|
|---|---|
| Published in |
Journal of Translational Medicine, June 2021
|
| DOI | 10.1186/s12967-021-02938-8 |
| Pubmed ID | |
| Authors |
Elisa Petruccioli, Saeid Najafi Fard, Assunta Navarra, Linda Petrone, Valentina Vanini, Gilda Cuzzi, Gina Gualano, Luca Pierelli, Antonio Bertoletti, Emanuele Nicastri, Fabrizio Palmieri, Giuseppe Ippolito, Delia Goletti |
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.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 73 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 73 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 14% |
| Student > Bachelor | 8 | 11% |
| Student > Ph. D. Student | 5 | 7% |
| Student > Postgraduate | 4 | 5% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 32 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 10 | 14% |
| Immunology and Microbiology | 7 | 10% |
| Biochemistry, Genetics and Molecular Biology | 4 | 5% |
| Nursing and Health Professions | 3 | 4% |
| Social Sciences | 3 | 4% |
| Other | 13 | 18% |
| Unknown | 33 | 45% |
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 01 November 2021.
All research outputs
#14,267,331
of 23,308,124 outputs
Outputs from Journal of Translational Medicine
#1,745
of 4,114 outputs
Outputs of similar age
#214,345
of 442,520 outputs
Outputs of similar age from Journal of Translational Medicine
#34
of 100 outputs
Altmetric has tracked 23,308,124 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 4,114 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has gotten more attention than average, scoring higher than 55% 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 442,520 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 50% of its contemporaries.
We're also able to compare this research output to 100 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 64% of its contemporaries.