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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Normalization Methods on Single-Cell RNA-seq Data: An Empirical Survey
|
|---|---|
| Published in |
Frontiers in Genetics, February 2020
|
| DOI | 10.3389/fgene.2020.00041 |
| Pubmed ID | |
| Authors |
Nicholas Lytal, Di Ran, Lingling An |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 25% |
| Italy | 1 | 25% |
| Switzerland | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 222 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 222 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 47 | 21% |
| Researcher | 25 | 11% |
| Student > Master | 22 | 10% |
| Student > Bachelor | 17 | 8% |
| Unspecified | 9 | 4% |
| Other | 22 | 10% |
| Unknown | 80 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 59 | 27% |
| Computer Science | 20 | 9% |
| Agricultural and Biological Sciences | 15 | 7% |
| Engineering | 9 | 4% |
| Unspecified | 9 | 4% |
| Other | 29 | 13% |
| Unknown | 81 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 2. 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 13 December 2021.
All research outputs
#14,154,868
of 22,684,168 outputs
Outputs from Frontiers in Genetics
#3,889
of 11,749 outputs
Outputs of similar age
#236,578
of 446,617 outputs
Outputs of similar age from Frontiers in Genetics
#108
of 357 outputs
Altmetric has tracked 22,684,168 research outputs across all sources so far. This one is in the 35th percentile – i.e., 35% of other outputs scored the same or lower than it.
So far Altmetric has tracked 11,749 research outputs from this source. They receive a mean Attention Score of 3.7. This one has gotten more attention than average, scoring higher than 62% 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 446,617 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 44th percentile – i.e., 44% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 357 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 67% of its contemporaries.