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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A topological data analysis based classification method for multiple measurements
|
|---|---|
| Published in |
BMC Bioinformatics, July 2020
|
| DOI | 10.1186/s12859-020-03659-3 |
| Pubmed ID | |
| Authors |
Henri Riihimäki, Wojciech Chachólski, Jakob Theorell, Jan Hillert, Ryan Ramanujam |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Mexico | 1 | 33% |
| India | 1 | 33% |
| United Kingdom | 1 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 67% |
| Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 21% |
| Student > Ph. D. Student | 11 | 15% |
| Student > Bachelor | 5 | 7% |
| Student > Master | 4 | 6% |
| Professor > Associate Professor | 3 | 4% |
| Other | 7 | 10% |
| Unknown | 26 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 13 | 18% |
| Mathematics | 6 | 8% |
| Engineering | 5 | 7% |
| Agricultural and Biological Sciences | 3 | 4% |
| Immunology and Microbiology | 2 | 3% |
| Other | 11 | 15% |
| Unknown | 31 | 44% |
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 06 July 2023.
All research outputs
#17,605,715
of 25,807,758 outputs
Outputs from BMC Bioinformatics
#5,713
of 7,751 outputs
Outputs of similar age
#275,598
of 428,862 outputs
Outputs of similar age from BMC Bioinformatics
#80
of 113 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. This one is in the 21st percentile – i.e., 21% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,751 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 428,862 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 113 others from the same source and published within six weeks on either side of this one. This one is in the 21st percentile – i.e., 21% of its contemporaries scored the same or lower than it.