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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MVDA: a multi-view genomic data integration methodology
|
|---|---|
| Published in |
BMC Bioinformatics, August 2015
|
| DOI | 10.1186/s12859-015-0680-3 |
| Pubmed ID | |
| Authors |
Angela Serra, Michele Fratello, Vittorio Fortino, Giancarlo Raiconi, Roberto Tagliaferri, Dario Greco |
X Demographics
The data shown below were collected from the profiles of 15 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 | 4 | 27% |
| Germany | 1 | 7% |
| United Kingdom | 1 | 7% |
| Belgium | 1 | 7% |
| Italy | 1 | 7% |
| Unknown | 7 | 47% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 8 | 53% |
| Scientists | 7 | 47% |
Mendeley readers
The data shown below were compiled from readership statistics for 101 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | <1% |
| Unknown | 100 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 31 | 31% |
| Researcher | 27 | 27% |
| Student > Master | 15 | 15% |
| Student > Bachelor | 4 | 4% |
| Other | 4 | 4% |
| Other | 11 | 11% |
| Unknown | 9 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 26 | 26% |
| Biochemistry, Genetics and Molecular Biology | 17 | 17% |
| Agricultural and Biological Sciences | 17 | 17% |
| Medicine and Dentistry | 7 | 7% |
| Engineering | 6 | 6% |
| Other | 12 | 12% |
| Unknown | 16 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 8. 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 19 March 2016.
All research outputs
#4,762,671
of 26,017,215 outputs
Outputs from BMC Bioinformatics
#1,657
of 7,793 outputs
Outputs of similar age
#55,135
of 281,190 outputs
Outputs of similar age from BMC Bioinformatics
#28
of 122 outputs
Altmetric has tracked 26,017,215 research outputs across all sources so far. Compared to these this one has done well and is in the 81st percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,793 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done well, scoring higher than 78% 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 281,190 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 80% of its contemporaries.
We're also able to compare this research output to 122 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.