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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Frameshift and wild-type proteins are often highly similar because the genetic code and genomes were optimized for frameshift tolerance
|
|---|---|
| Published in |
BMC Genomics, June 2022
|
| DOI | 10.1186/s12864-022-08435-6 |
| Pubmed ID | |
| Authors |
Xiaolong Wang, Quanjiang Dong, Gang Chen, Jianye Zhang, Yongqiang Liu, Yujia Cai |
X Demographics
The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 3 | 20% |
| United States | 3 | 20% |
| Germany | 1 | 7% |
| Switzerland | 1 | 7% |
| Mexico | 1 | 7% |
| Norway | 1 | 7% |
| Unknown | 5 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 8 | 53% |
| Members of the public | 6 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Unspecified | 4 | 18% |
| Student > Bachelor | 4 | 18% |
| Researcher | 3 | 14% |
| Other | 2 | 9% |
| Professor > Associate Professor | 2 | 9% |
| Other | 4 | 18% |
| Unknown | 3 | 14% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 6 | 27% |
| Unspecified | 4 | 18% |
| Medicine and Dentistry | 4 | 18% |
| Agricultural and Biological Sciences | 2 | 9% |
| Computer Science | 1 | 5% |
| Other | 1 | 5% |
| Unknown | 4 | 18% |
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 28 March 2024.
All research outputs
#2,132,651
of 25,393,528 outputs
Outputs from BMC Genomics
#516
of 11,252 outputs
Outputs of similar age
#47,346
of 446,684 outputs
Outputs of similar age from BMC Genomics
#5
of 171 outputs
Altmetric has tracked 25,393,528 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 11,252 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 446,684 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 89% of its contemporaries.
We're also able to compare this research output to 171 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.