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X Demographics
Mendeley readers
Attention Score in Context
Title |
A unified framework for packing deformable and non-deformable subcellular structures in crowded cryo-electron tomogram simulation
|
---|---|
Published in |
BMC Bioinformatics, September 2020
|
DOI | 10.1186/s12859-020-03660-w |
Pubmed ID | |
Authors |
Sinuo Liu, Xiaojuan Ban, Xiangrui Zeng, Fengnian Zhao, Yuan Gao, Wenjie Wu, Hongpan Zhang, Feiyang Chen, Thomas Hall, Xin Gao, Min Xu |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 33% |
United Kingdom | 1 | 33% |
Unknown | 1 | 33% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 33% |
Student > Master | 2 | 17% |
Researcher | 2 | 17% |
Professor | 1 | 8% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 4 | 33% |
Chemistry | 2 | 17% |
Agricultural and Biological Sciences | 2 | 17% |
Nursing and Health Professions | 1 | 8% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 8% |
Other | 0 | 0% |
Unknown | 2 | 17% |
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 11 September 2020.
All research outputs
#15,332,207
of 23,577,654 outputs
Outputs from BMC Bioinformatics
#5,159
of 7,400 outputs
Outputs of similar age
#238,614
of 402,535 outputs
Outputs of similar age from BMC Bioinformatics
#100
of 141 outputs
Altmetric has tracked 23,577,654 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 7,400 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.4. This one is in the 26th percentile – i.e., 26% 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 402,535 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 141 others from the same source and published within six weeks on either side of this one. This one is in the 24th percentile – i.e., 24% of its contemporaries scored the same or lower than it.