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X Demographics
Mendeley readers
Attention Score in Context
| Title |
MSIFinder: a python package for detecting MSI status using random forest classifier
|
|---|---|
| Published in |
BMC Bioinformatics, April 2021
|
| DOI | 10.1186/s12859-021-03986-z |
| Pubmed ID | |
| Authors |
Tao Zhou, Libin Chen, Jing Guo, Mengmeng Zhang, Yanrui Zhang, Shanbo Cao, Feng Lou, Haijun Wang |
X Demographics
The data shown below were collected from the profiles of 7 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 | 1 | 14% |
| India | 1 | 14% |
| Sweden | 1 | 14% |
| United Kingdom | 1 | 14% |
| Unknown | 3 | 43% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 57% |
| Scientists | 3 | 43% |
Mendeley readers
The data shown below were compiled from readership statistics for 49 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 49 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 16% |
| Student > Bachelor | 7 | 14% |
| Student > Ph. D. Student | 4 | 8% |
| Other | 3 | 6% |
| Student > Master | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 20 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 14% |
| Computer Science | 5 | 10% |
| Engineering | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Agricultural and Biological Sciences | 2 | 4% |
| Other | 6 | 12% |
| Unknown | 21 | 43% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 16 February 2023.
All research outputs
#6,477,794
of 25,381,864 outputs
Outputs from BMC Bioinformatics
#2,229
of 7,682 outputs
Outputs of similar age
#131,192
of 435,480 outputs
Outputs of similar age from BMC Bioinformatics
#53
of 177 outputs
Altmetric has tracked 25,381,864 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 7,682 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has gotten more attention than average, scoring higher than 70% 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 435,480 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 69% of its contemporaries.
We're also able to compare this research output to 177 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 68% of its contemporaries.