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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Reproducibility of Methods to Detect Differentially Expressed Genes from Single-Cell RNA Sequencing
|
|---|---|
| Published in |
Frontiers in Genetics, January 2020
|
| DOI | 10.3389/fgene.2019.01331 |
| Pubmed ID | |
| Authors |
Tian Mou, Wenjiang Deng, Fengyun Gu, Yudi Pawitan, Trung Nghia Vu |
X Demographics
The data shown below were collected from the profiles of 13 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 | 2 | 15% |
| France | 1 | 8% |
| Japan | 1 | 8% |
| Austria | 1 | 8% |
| Italy | 1 | 8% |
| Switzerland | 1 | 8% |
| Unknown | 6 | 46% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 54% |
| Scientists | 6 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 133 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 133 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 33 | 25% |
| Researcher | 24 | 18% |
| Student > Master | 16 | 12% |
| Student > Bachelor | 15 | 11% |
| Student > Doctoral Student | 7 | 5% |
| Other | 10 | 8% |
| Unknown | 28 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 51 | 38% |
| Agricultural and Biological Sciences | 18 | 14% |
| Computer Science | 7 | 5% |
| Neuroscience | 7 | 5% |
| Immunology and Microbiology | 7 | 5% |
| Other | 11 | 8% |
| Unknown | 32 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 07 February 2020.
All research outputs
#4,565,595
of 23,189,371 outputs
Outputs from Frontiers in Genetics
#1,408
of 12,221 outputs
Outputs of similar age
#107,464
of 455,853 outputs
Outputs of similar age from Frontiers in Genetics
#41
of 323 outputs
Altmetric has tracked 23,189,371 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 12,221 research outputs from this source. They receive a mean Attention Score of 3.7. This one has done well, scoring higher than 88% 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 455,853 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 76% of its contemporaries.
We're also able to compare this research output to 323 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.