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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Revealing the characteristics of ZIKV infection through tissue-specific transcriptome sequencing analysis
|
|---|---|
| Published in |
BMC Genomics, October 2022
|
| DOI | 10.1186/s12864-022-08919-5 |
| Pubmed ID | |
| Authors |
Zhi-lu Chen, Zuo-jing Yin, Tian-yi Qiu, Jian Chen, Jian Liu, Xiao-yan Zhang, Jian-qing Xu |
X Demographics
The data shown below were collected from the profiles of 17 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 6% |
| United States | 1 | 6% |
| Sweden | 1 | 6% |
| Unknown | 14 | 82% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 82% |
| Scientists | 2 | 12% |
| Practitioners (doctors, other healthcare professionals) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 13 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Researcher | 2 | 15% |
| Student > Ph. D. Student | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Student > Master | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Unspecified | 3 | 23% |
| Biochemistry, Genetics and Molecular Biology | 2 | 15% |
| Computer Science | 1 | 8% |
| Immunology and Microbiology | 1 | 8% |
| Sports and Recreations | 1 | 8% |
| Other | 1 | 8% |
| Unknown | 4 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 20 October 2022.
All research outputs
#2,083,444
of 25,158,951 outputs
Outputs from BMC Genomics
#501
of 11,174 outputs
Outputs of similar age
#43,366
of 434,315 outputs
Outputs of similar age from BMC Genomics
#5
of 117 outputs
Altmetric has tracked 25,158,951 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,174 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 434,315 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 90% of its contemporaries.
We're also able to compare this research output to 117 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 96% of its contemporaries.