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X Demographics
Mendeley readers
Attention Score in Context
| Title |
CALISTA: Clustering and LINEAGE Inference in Single-Cell Transcriptional Analysis
|
|---|---|
| Published in |
Frontiers in Bioengineering and Biotechnology, February 2020
|
| DOI | 10.3389/fbioe.2020.00018 |
| Pubmed ID | |
| Authors |
Nan Papili Gao, Thomas Hartmann, Tao Fang, Rudiyanto Gunawan |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 2 | 40% |
| Italy | 1 | 20% |
| United States | 1 | 20% |
| Unknown | 1 | 20% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 60% |
| Scientists | 2 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 24% |
| Researcher | 10 | 22% |
| Student > Master | 6 | 13% |
| Student > Bachelor | 4 | 9% |
| Professor | 2 | 4% |
| Other | 3 | 7% |
| Unknown | 10 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 30% |
| Agricultural and Biological Sciences | 7 | 15% |
| Computer Science | 4 | 9% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Mathematics | 1 | 2% |
| Other | 7 | 15% |
| Unknown | 12 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 2020.
All research outputs
#7,090,721
of 23,191,112 outputs
Outputs from Frontiers in Bioengineering and Biotechnology
#1,134
of 6,878 outputs
Outputs of similar age
#150,991
of 449,639 outputs
Outputs of similar age from Frontiers in Bioengineering and Biotechnology
#79
of 260 outputs
Altmetric has tracked 23,191,112 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 6,878 research outputs from this source. They receive a mean Attention Score of 3.4. This one has done well, scoring higher than 83% 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 449,639 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 65% of its contemporaries.
We're also able to compare this research output to 260 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.