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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Evaluating Structural Variation Detection Tools for Long-Read Sequencing Datasets in Saccharomyces cerevisiae
|
|---|---|
| Published in |
Frontiers in Genetics, March 2020
|
| DOI | 10.3389/fgene.2020.00159 |
| Pubmed ID | |
| Authors |
Mei-Wei Luan, Xiao-Ming Zhang, Zi-Bin Zhu, Ying Chen, Shang-Qian Xie |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 51 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 18% |
| Student > Ph. D. Student | 9 | 18% |
| Student > Bachelor | 5 | 10% |
| Student > Master | 5 | 10% |
| Student > Doctoral Student | 3 | 6% |
| Other | 4 | 8% |
| Unknown | 16 | 31% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 18 | 35% |
| Agricultural and Biological Sciences | 10 | 20% |
| Computer Science | 3 | 6% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Medicine and Dentistry | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 18 | 35% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 01 May 2020.
All research outputs
#18,055,226
of 23,199,478 outputs
Outputs from Frontiers in Genetics
#6,198
of 12,236 outputs
Outputs of similar age
#255,310
of 362,698 outputs
Outputs of similar age from Frontiers in Genetics
#187
of 398 outputs
Altmetric has tracked 23,199,478 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 12,236 research outputs from this source. They receive a mean Attention Score of 3.7. This one is in the 41st percentile – i.e., 41% of its peers scored the same or lower than it.
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 362,698 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 398 others from the same source and published within six weeks on either side of this one. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.