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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Interferon inducible pseudouridine modification in human mRNA by quantitative nanopore profiling
|
|---|---|
| Published in |
Genome Biology, December 2021
|
| DOI | 10.1186/s13059-021-02557-y |
| Pubmed ID | |
| Authors |
Sihao Huang, Wen Zhang, Christopher D. Katanski, Devin Dersh, Qing Dai, Karen Lolans, Jonathan Yewdell, A. Murat Eren, Tao Pan |
X Demographics
The data shown below were collected from the profiles of 38 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 9 | 24% |
| United Kingdom | 2 | 5% |
| Canada | 1 | 3% |
| Australia | 1 | 3% |
| Congo, The Democratic Republic of the | 1 | 3% |
| Netherlands | 1 | 3% |
| India | 1 | 3% |
| Unknown | 22 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 76% |
| Scientists | 5 | 13% |
| Practitioners (doctors, other healthcare professionals) | 3 | 8% |
| Science communicators (journalists, bloggers, editors) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 6 | 14% |
| Researcher | 6 | 14% |
| Student > Bachelor | 4 | 10% |
| Student > Doctoral Student | 3 | 7% |
| Professor | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 17 | 40% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 17% |
| Chemistry | 7 | 17% |
| Agricultural and Biological Sciences | 5 | 12% |
| Computer Science | 2 | 5% |
| Immunology and Microbiology | 2 | 5% |
| Other | 2 | 5% |
| Unknown | 17 | 40% |
Attention Score in Context
This research output has an Altmetric Attention Score of 33. 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 February 2024.
All research outputs
#1,213,123
of 25,611,630 outputs
Outputs from Genome Biology
#904
of 4,495 outputs
Outputs of similar age
#29,269
of 515,385 outputs
Outputs of similar age from Genome Biology
#29
of 83 outputs
Altmetric has tracked 25,611,630 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,495 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has done well, scoring higher than 79% 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 515,385 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 94% of its contemporaries.
We're also able to compare this research output to 83 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 66% of its contemporaries.