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X Demographics
Mendeley readers
Attention Score in Context
| Title |
3’Pool-seq: an optimized cost-efficient and scalable method of whole-transcriptome gene expression profiling
|
|---|---|
| Published in |
BMC Genomics, January 2020
|
| DOI | 10.1186/s12864-020-6478-3 |
| Pubmed ID | |
| Authors |
Gabriel Sholder, Thomas A. Lanz, Robert Moccia, Jie Quan, Estel Aparicio-Prat, Robert Stanton, Hualin S. Xi |
X Demographics
The data shown below were collected from the profiles of 5 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Austria | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Scientists | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 53 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 53 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 23% |
| Student > Ph. D. Student | 8 | 15% |
| Student > Master | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Student > Bachelor | 2 | 4% |
| Other | 8 | 15% |
| Unknown | 16 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 14 | 26% |
| Agricultural and Biological Sciences | 13 | 25% |
| Environmental Science | 2 | 4% |
| Engineering | 2 | 4% |
| Medicine and Dentistry | 2 | 4% |
| Other | 3 | 6% |
| Unknown | 17 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 02 June 2023.
All research outputs
#2,385,845
of 23,923,788 outputs
Outputs from BMC Genomics
#702
of 10,830 outputs
Outputs of similar age
#58,274
of 461,232 outputs
Outputs of similar age from BMC Genomics
#20
of 255 outputs
Altmetric has tracked 23,923,788 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,830 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 93% 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 461,232 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 87% of its contemporaries.
We're also able to compare this research output to 255 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 92% of its contemporaries.