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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Combining heterogeneous data sources for accurate functional annotation of proteins
|
|---|---|
| Published in |
BMC Bioinformatics, February 2013
|
| DOI | 10.1186/1471-2105-14-s3-s10 |
| Pubmed ID | |
| Authors |
Artem Sokolov, Christopher Funk, Kiley Graim, Karin Verspoor, Asa Ben-Hur |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Korea, Republic of | 1 | 2% |
| Italy | 1 | 2% |
| Israel | 1 | 2% |
| Australia | 1 | 2% |
| Denmark | 1 | 2% |
| India | 1 | 2% |
| Unknown | 53 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 18% |
| Student > Master | 10 | 16% |
| Researcher | 10 | 16% |
| Professor > Associate Professor | 5 | 8% |
| Student > Doctoral Student | 4 | 6% |
| Other | 11 | 18% |
| Unknown | 11 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 22 | 35% |
| Agricultural and Biological Sciences | 17 | 27% |
| Biochemistry, Genetics and Molecular Biology | 3 | 5% |
| Mathematics | 2 | 3% |
| Business, Management and Accounting | 2 | 3% |
| Other | 5 | 8% |
| Unknown | 11 | 18% |
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 08 September 2016.
All research outputs
#15,374,585
of 22,873,031 outputs
Outputs from BMC Bioinformatics
#5,387
of 7,297 outputs
Outputs of similar age
#121,563
of 193,273 outputs
Outputs of similar age from BMC Bioinformatics
#119
of 159 outputs
Altmetric has tracked 22,873,031 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,297 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 18th percentile – i.e., 18% 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 193,273 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 27th percentile – i.e., 27% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 159 others from the same source and published within six weeks on either side of this one. This one is in the 16th percentile – i.e., 16% of its contemporaries scored the same or lower than it.