| Title |
Moving forward through the in silico modeling of tuberculosis: a further step with UISS-TB
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03762-5 |
| Pubmed ID | |
| Authors |
Giulia Russo, Giuseppe Sgroi, Giuseppe Alessandro Parasiliti Palumbo, Marzio Pennisi, Miguel A. Juarez, Pere-Joan Cardona, Santo Motta, Kenneth B. Walker, Epifanio Fichera, Marco Viceconti, Francesco Pappalardo |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 2 | 33% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Practitioners (doctors, other healthcare professionals) | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 36 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 36 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 14% |
| Other | 3 | 8% |
| Student > Bachelor | 3 | 8% |
| Student > Ph. D. Student | 3 | 8% |
| Lecturer | 2 | 6% |
| Other | 6 | 17% |
| Unknown | 14 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 14% |
| Medicine and Dentistry | 5 | 14% |
| Biochemistry, Genetics and Molecular Biology | 3 | 8% |
| Nursing and Health Professions | 2 | 6% |
| Unspecified | 2 | 6% |
| Other | 4 | 11% |
| Unknown | 15 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 31 January 2023.
All research outputs
#6,997,812
of 25,385,509 outputs
Outputs from BMC Bioinformatics
#2,475
of 7,693 outputs
Outputs of similar age
#160,342
of 517,518 outputs
Outputs of similar age from BMC Bioinformatics
#57
of 146 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 7,693 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 517,518 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 68% of its contemporaries.
We're also able to compare this research output to 146 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 61% of its contemporaries.