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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A robustness metric for biological data clustering algorithms
|
|---|---|
| Published in |
BMC Bioinformatics, December 2019
|
| DOI | 10.1186/s12859-019-3089-6 |
| Pubmed ID | |
| Authors |
Yuping Lu, Charles A. Phillips, Michael A. Langston |
X Demographics
The data shown below were collected from the profiles of 4 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 Kingdom | 2 | 50% |
| Unknown | 2 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Scientists | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 50 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 22% |
| Researcher | 10 | 20% |
| Student > Master | 6 | 12% |
| Student > Bachelor | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 5 | 10% |
| Unknown | 13 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 16% |
| Computer Science | 6 | 12% |
| Agricultural and Biological Sciences | 5 | 10% |
| Pharmacology, Toxicology and Pharmaceutical Science | 3 | 6% |
| Medicine and Dentistry | 2 | 4% |
| Other | 10 | 20% |
| Unknown | 16 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 9. 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 12 March 2021.
All research outputs
#3,678,869
of 23,184,056 outputs
Outputs from BMC Bioinformatics
#1,322
of 7,345 outputs
Outputs of similar age
#85,197
of 457,691 outputs
Outputs of similar age from BMC Bioinformatics
#39
of 218 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. Compared to these this one has done well and is in the 84th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,345 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 done well, scoring higher than 81% 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 457,691 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 81% of its contemporaries.
We're also able to compare this research output to 218 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 81% of its contemporaries.