| Title |
Toward computational modelling on immune system function
|
|---|---|
| Published in |
BMC Bioinformatics, December 2020
|
| DOI | 10.1186/s12859-020-03897-5 |
| Pubmed ID | |
| Authors |
Francesco Pappalardo, Giulia Russo, Pedro A. Reche |
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 | 1 | 17% |
| India | 1 | 17% |
| Japan | 1 | 17% |
| Sweden | 1 | 17% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 4 | 67% |
| Members of the public | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 24% |
| Student > Bachelor | 4 | 16% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Librarian | 1 | 4% |
| Other | 1 | 4% |
| Other | 3 | 12% |
| Unknown | 9 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 4 | 16% |
| Nursing and Health Professions | 3 | 12% |
| Computer Science | 2 | 8% |
| Psychology | 1 | 4% |
| Veterinary Science and Veterinary Medicine | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 12 | 48% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 18 December 2020.
All research outputs
#14,545,031
of 25,385,509 outputs
Outputs from BMC Bioinformatics
#4,003
of 7,693 outputs
Outputs of similar age
#243,888
of 517,518 outputs
Outputs of similar age from BMC Bioinformatics
#82
of 146 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
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 is in the 47th percentile – i.e., 47% 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 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 52% 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 is in the 43rd percentile – i.e., 43% of its contemporaries scored the same or lower than it.