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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A comparison framework and guideline of clustering methods for mass cytometry data
|
|---|---|
| Published in |
Genome Biology, December 2019
|
| DOI | 10.1186/s13059-019-1917-7 |
| Pubmed ID | |
| Authors |
Xiao Liu, Weichen Song, Brandon Y. Wong, Ting Zhang, Shunying Yu, Guan Ning Lin, Xianting Ding |
X Demographics
The data shown below were collected from the profiles of 10 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 | 4 | 40% |
| United Kingdom | 2 | 20% |
| Sweden | 2 | 20% |
| Indonesia | 1 | 10% |
| Unknown | 1 | 10% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 70% |
| Scientists | 2 | 20% |
| Science communicators (journalists, bloggers, editors) | 1 | 10% |
Mendeley readers
The data shown below were compiled from readership statistics for 140 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 140 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 32 | 23% |
| Researcher | 30 | 21% |
| Student > Master | 17 | 12% |
| Student > Bachelor | 8 | 6% |
| Other | 5 | 4% |
| Other | 11 | 8% |
| Unknown | 37 | 26% |
| Readers by discipline | Count | As % |
|---|---|---|
| Immunology and Microbiology | 25 | 18% |
| Biochemistry, Genetics and Molecular Biology | 24 | 17% |
| Computer Science | 15 | 11% |
| Medicine and Dentistry | 13 | 9% |
| Agricultural and Biological Sciences | 10 | 7% |
| Other | 15 | 11% |
| Unknown | 38 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 March 2020.
All research outputs
#7,080,812
of 25,807,758 outputs
Outputs from Genome Biology
#3,244
of 4,520 outputs
Outputs of similar age
#144,991
of 481,682 outputs
Outputs of similar age from Genome Biology
#86
of 92 outputs
Altmetric has tracked 25,807,758 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.0. This one is in the 27th percentile – i.e., 27% 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 481,682 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 92 others from the same source and published within six weeks on either side of this one. This one is in the 6th percentile – i.e., 6% of its contemporaries scored the same or lower than it.