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X Demographics
Mendeley readers
Attention Score in Context
| Title |
GO functional similarity clustering depends on similarity measure, clustering method, and annotation completeness
|
|---|---|
| Published in |
BMC Bioinformatics, March 2019
|
| DOI | 10.1186/s12859-019-2752-2 |
| Pubmed ID | |
| Authors |
Meng Liu, Paul D. Thomas |
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 % |
|---|---|---|
| Germany | 2 | 33% |
| United States | 2 | 33% |
| United Kingdom | 1 | 17% |
| Unknown | 1 | 17% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 38 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 24% |
| Student > Bachelor | 4 | 11% |
| Researcher | 3 | 8% |
| Student > Postgraduate | 3 | 8% |
| Student > Master | 3 | 8% |
| Other | 5 | 13% |
| Unknown | 11 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 11 | 29% |
| Biochemistry, Genetics and Molecular Biology | 4 | 11% |
| Computer Science | 4 | 11% |
| Medicine and Dentistry | 4 | 11% |
| Unspecified | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 11 | 29% |
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 10 April 2019.
All research outputs
#7,339,647
of 23,138,859 outputs
Outputs from BMC Bioinformatics
#2,895
of 7,339 outputs
Outputs of similar age
#136,968
of 351,782 outputs
Outputs of similar age from BMC Bioinformatics
#59
of 162 outputs
Altmetric has tracked 23,138,859 research outputs across all sources so far. This one has received more attention than most of these and is in the 67th percentile.
So far Altmetric has tracked 7,339 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 58% 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 351,782 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 60% of its contemporaries.
We're also able to compare this research output to 162 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.