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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Fueling ab initio folding with marine metagenomics enables structure and function predictions of new protein families
|
|---|---|
| Published in |
Genome Biology, November 2019
|
| DOI | 10.1186/s13059-019-1823-z |
| Pubmed ID | |
| Authors |
Yan Wang, Qiang Shi, Pengshuo Yang, Chengxin Zhang, S. M. Mortuza, Zhidong Xue, Kang Ning, Yang Zhang |
X Demographics
The data shown below were collected from the profiles of 9 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 Kingdom | 2 | 22% |
| United States | 2 | 22% |
| Australia | 1 | 11% |
| Japan | 1 | 11% |
| Unknown | 3 | 33% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 56% |
| Scientists | 3 | 33% |
| Science communicators (journalists, bloggers, editors) | 1 | 11% |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 56 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 21% |
| Researcher | 12 | 21% |
| Student > Bachelor | 5 | 9% |
| Student > Master | 5 | 9% |
| Student > Doctoral Student | 4 | 7% |
| Other | 11 | 20% |
| Unknown | 7 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 34% |
| Agricultural and Biological Sciences | 6 | 11% |
| Immunology and Microbiology | 4 | 7% |
| Computer Science | 4 | 7% |
| Engineering | 2 | 4% |
| Other | 7 | 13% |
| Unknown | 14 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 27 January 2020.
All research outputs
#1,939,957
of 25,443,857 outputs
Outputs from Genome Biology
#1,622
of 4,476 outputs
Outputs of similar age
#41,613
of 378,338 outputs
Outputs of similar age from Genome Biology
#51
of 81 outputs
Altmetric has tracked 25,443,857 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,476 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 gotten more attention than average, scoring higher than 63% 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 378,338 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 88% of its contemporaries.
We're also able to compare this research output to 81 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.