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 |
Predicting the artificial immunity induced by RUTI® vaccine against tuberculosis using universal immune system simulator (UISS)
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3045-5 |
| Pubmed ID | |
| Authors |
Marzio Pennisi, Giulia Russo, Giuseppe Sgroi, Angela Bonaccorso, Giuseppe Alessandro Parasiliti Palumbo, Epifanio Fichera, Dipendra Kumar Mitra, Kenneth B. Walker, Pere-Joan Cardona, Merce Amat, Marco Viceconti, Francesco Pappalardo |
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 % |
|---|---|---|
| United Kingdom | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 98 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 98 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 10% |
| Student > Master | 8 | 8% |
| Student > Bachelor | 8 | 8% |
| Researcher | 7 | 7% |
| Professor | 5 | 5% |
| Other | 10 | 10% |
| Unknown | 50 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 12 | 12% |
| Computer Science | 6 | 6% |
| Biochemistry, Genetics and Molecular Biology | 5 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 5 | 5% |
| Nursing and Health Professions | 3 | 3% |
| Other | 14 | 14% |
| Unknown | 53 | 54% |
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 12 December 2019.
All research outputs
#18,041,836
of 23,179,757 outputs
Outputs from BMC Bioinformatics
#6,001
of 7,344 outputs
Outputs of similar age
#318,058
of 459,268 outputs
Outputs of similar age from BMC Bioinformatics
#162
of 229 outputs
Altmetric has tracked 23,179,757 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,344 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 13th percentile – i.e., 13% 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 459,268 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 229 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.