The data shown below were collected from the profiles of 35 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Single-Cell RNA-Seq Technologies and Related Computational Data Analysis
|
|---|---|
| Published in |
Frontiers in Genetics, April 2019
|
| DOI | 10.3389/fgene.2019.00317 |
| Pubmed ID | |
| Authors |
Geng Chen, Baitang Ning, Tieliu Shi |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 14% |
| Spain | 1 | 3% |
| Guinea | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Australia | 1 | 3% |
| Japan | 1 | 3% |
| Unknown | 25 | 71% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 17 | 49% |
| Scientists | 17 | 49% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 1,574 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1574 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 314 | 20% |
| Student > Master | 179 | 11% |
| Student > Bachelor | 178 | 11% |
| Researcher | 174 | 11% |
| Student > Doctoral Student | 70 | 4% |
| Other | 146 | 9% |
| Unknown | 513 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 449 | 29% |
| Agricultural and Biological Sciences | 140 | 9% |
| Immunology and Microbiology | 86 | 5% |
| Neuroscience | 71 | 5% |
| Medicine and Dentistry | 68 | 4% |
| Other | 195 | 12% |
| Unknown | 565 | 36% |
Attention Score in Context
This research output has an Altmetric Attention Score of 380. 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 23 January 2024.
All research outputs
#86,115
of 26,375,196 outputs
Outputs from Frontiers in Genetics
#4
of 13,900 outputs
Outputs of similar age
#1,659
of 369,454 outputs
Outputs of similar age from Frontiers in Genetics
#1
of 346 outputs
Altmetric has tracked 26,375,196 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 13,900 research outputs from this source. They receive a mean Attention Score of 3.9. This one has done particularly well, scoring higher than 99% 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 369,454 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 346 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.