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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A web-based database server using 43,710 public RNA-seq samples for the analysis of gene expression and alternative splicing in livestock animals
|
|---|---|
| Published in |
BMC Genomics, October 2022
|
| DOI | 10.1186/s12864-022-08881-2 |
| Pubmed ID | |
| Authors |
Jinding Liu, Kun Lang, Suxu Tan, Wencai Jie, Yihua Zhu, Shiqing Huang, Wen Huang |
X Demographics
The data shown below were collected from the profiles of 10 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 10% |
| Canada | 1 | 10% |
| Japan | 1 | 10% |
| Netherlands | 1 | 10% |
| United Kingdom | 1 | 10% |
| Unknown | 5 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 6 | 60% |
| Members of the public | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 8 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 25% |
| Student > Ph. D. Student | 1 | 13% |
| Other | 1 | 13% |
| Researcher | 1 | 13% |
| Professor > Associate Professor | 1 | 13% |
| Other | 0 | 0% |
| Unknown | 2 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 3 | 38% |
| Veterinary Science and Veterinary Medicine | 1 | 13% |
| Nursing and Health Professions | 1 | 13% |
| Engineering | 1 | 13% |
| Unknown | 2 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 25 October 2022.
All research outputs
#1,748,128
of 23,578,176 outputs
Outputs from BMC Genomics
#408
of 10,767 outputs
Outputs of similar age
#37,682
of 445,501 outputs
Outputs of similar age from BMC Genomics
#3
of 123 outputs
Altmetric has tracked 23,578,176 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,767 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 96% 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 445,501 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 91% of its contemporaries.
We're also able to compare this research output to 123 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 97% of its contemporaries.