The data shown below were collected from the profiles of 203 X users who shared this research output. Click here to find out more about how the information was compiled.
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| 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
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 25 | 12% |
| Canada | 11 | 5% |
| United Kingdom | 7 | 3% |
| Japan | 4 | 2% |
| Australia | 4 | 2% |
| India | 2 | <1% |
| Germany | 2 | <1% |
| Switzerland | 2 | <1% |
| Comoros | 2 | <1% |
| Other | 15 | 7% |
| Unknown | 129 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 184 | 91% |
| Scientists | 14 | 7% |
| Practitioners (doctors, other healthcare professionals) | 4 | 2% |
| Science communicators (journalists, bloggers, editors) | 1 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 15% |
| Researcher | 5 | 15% |
| Professor > Associate Professor | 3 | 9% |
| Other | 2 | 6% |
| Student > Master | 2 | 6% |
| Other | 3 | 9% |
| Unknown | 13 | 39% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 8 | 24% |
| Medicine and Dentistry | 5 | 15% |
| Computer Science | 2 | 6% |
| Agricultural and Biological Sciences | 2 | 6% |
| Decision Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 132. 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 24 September 2024.
All research outputs
#342,712
of 26,746,546 outputs
Outputs from BMC Genomics
#23
of 11,457 outputs
Outputs of similar age
#9,134
of 453,759 outputs
Outputs of similar age from BMC Genomics
#1
of 172 outputs
Altmetric has tracked 26,746,546 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 98th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,457 research outputs from this source. They receive a mean Attention Score of 4.9. This one has done particularly well, scoring higher than 99% 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 453,759 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 97% of its contemporaries.
We're also able to compare this research output to 172 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 99% of its contemporaries.