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X Demographics
Mendeley readers
Attention Score in Context
| Title |
An infrastructure for precision medicine through analysis of big data
|
|---|---|
| Published in |
BMC Bioinformatics, October 2018
|
| DOI | 10.1186/s12859-018-2300-5 |
| Pubmed ID | |
| Authors |
Marco Moscatelli, Andrea Manconi, Mauro Pessina, Giovanni Fellegara, Stefano Rampoldi, Luciano Milanesi, Andrea Casasco, Matteo Gnocchi |
X Demographics
The data shown below were collected from the profiles of 7 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 States | 3 | 43% |
| Unknown | 4 | 57% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 86% |
| Scientists | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 112 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 21 | 19% |
| Researcher | 18 | 16% |
| Student > Ph. D. Student | 11 | 10% |
| Student > Bachelor | 11 | 10% |
| Lecturer | 4 | 4% |
| Other | 15 | 13% |
| Unknown | 32 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 22 | 20% |
| Computer Science | 13 | 12% |
| Engineering | 7 | 6% |
| Business, Management and Accounting | 6 | 5% |
| Nursing and Health Professions | 6 | 5% |
| Other | 18 | 16% |
| Unknown | 40 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 October 2018.
All research outputs
#7,003,403
of 23,106,390 outputs
Outputs from BMC Bioinformatics
#2,687
of 7,330 outputs
Outputs of similar age
#125,756
of 348,236 outputs
Outputs of similar age from BMC Bioinformatics
#47
of 125 outputs
Altmetric has tracked 23,106,390 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 7,330 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one has gotten more attention than average, scoring higher than 62% 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 348,236 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 63% of its contemporaries.
We're also able to compare this research output to 125 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 62% of its contemporaries.