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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CytoTree: an R/Bioconductor package for analysis and visualization of flow and mass cytometry data
|
|---|---|
| Published in |
BMC Bioinformatics, March 2021
|
| DOI | 10.1186/s12859-021-04054-2 |
| Pubmed ID | |
| Authors |
Yuting Dai, Aining Xu, Jianfeng Li, Liang Wu, Shanhe Yu, Jun Chen, Weili Zhao, Xiao-Jian Sun, Jinyan Huang |
X Demographics
The data shown below were collected from the profiles of 27 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 | 9 | 33% |
| India | 3 | 11% |
| Italy | 2 | 7% |
| Germany | 1 | 4% |
| Japan | 1 | 4% |
| Denmark | 1 | 4% |
| Netherlands | 1 | 4% |
| Canada | 1 | 4% |
| Sweden | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 6 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 16 | 59% |
| Members of the public | 10 | 37% |
| Practitioners (doctors, other healthcare professionals) | 1 | 4% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 14 | 21% |
| Student > Ph. D. Student | 10 | 15% |
| Student > Master | 6 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Student > Bachelor | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 25 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 21% |
| Immunology and Microbiology | 9 | 14% |
| Medicine and Dentistry | 6 | 9% |
| Agricultural and Biological Sciences | 5 | 8% |
| Engineering | 3 | 5% |
| Other | 4 | 6% |
| Unknown | 25 | 38% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 17 October 2022.
All research outputs
#2,691,709
of 25,736,439 outputs
Outputs from BMC Bioinformatics
#715
of 7,739 outputs
Outputs of similar age
#69,990
of 455,937 outputs
Outputs of similar age from BMC Bioinformatics
#19
of 169 outputs
Altmetric has tracked 25,736,439 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. This one has done particularly well, scoring higher than 90% 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 455,937 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 84% of its contemporaries.
We're also able to compare this research output to 169 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.