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X Demographics
Mendeley readers
Attention Score in Context
| Title |
High-Throughput Sequencing to Investigate lncRNA-circRNA-miRNA-mRNA Networks Underlying the Effects of Beta-Amyloid Peptide and Senescence on Astrocytes
|
|---|---|
| Published in |
Frontiers in Genetics, May 2022
|
| DOI | 10.3389/fgene.2022.868856 |
| Pubmed ID | |
| Authors |
Yuxin Deng, Hui Song, Yan Xiao, Yi Zhao, Liangzao Chu, Jiuyang Ding, Xiangchun Shen, Xiaolan Qi |
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 % |
|---|---|---|
| Switzerland | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 3 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 12 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 17% |
| Student > Bachelor | 2 | 17% |
| Researcher | 1 | 8% |
| Student > Master | 1 | 8% |
| Unknown | 6 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 17% |
| Biochemistry, Genetics and Molecular Biology | 2 | 17% |
| Neuroscience | 2 | 17% |
| Unknown | 6 | 50% |
Attention Score in Context
This research output has an Altmetric Attention Score of 11. 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 10 June 2022.
All research outputs
#2,680,017
of 22,641,687 outputs
Outputs from Frontiers in Genetics
#700
of 11,696 outputs
Outputs of similar age
#59,927
of 436,964 outputs
Outputs of similar age from Frontiers in Genetics
#26
of 900 outputs
Altmetric has tracked 22,641,687 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,696 research outputs from this source. They receive a mean Attention Score of 3.7. 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 436,964 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 86% of its contemporaries.
We're also able to compare this research output to 900 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.