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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Automated muscle histopathology analysis using CellProfiler
|
|---|---|
| Published in |
Skeletal Muscle, October 2018
|
| DOI | 10.1186/s13395-018-0178-6 |
| Pubmed ID | |
| Authors |
Yeh Siang Lau, Li Xu, Yandi Gao, Renzhi Han |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| France | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 2 | 40% |
| Members of the public | 2 | 40% |
| Science communicators (journalists, bloggers, editors) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 71 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 11 | 15% |
| Student > Bachelor | 10 | 14% |
| Student > Master | 9 | 13% |
| Researcher | 8 | 11% |
| Student > Doctoral Student | 3 | 4% |
| Other | 11 | 15% |
| Unknown | 19 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 19 | 27% |
| Agricultural and Biological Sciences | 9 | 13% |
| Medicine and Dentistry | 7 | 10% |
| Engineering | 4 | 6% |
| Immunology and Microbiology | 2 | 3% |
| Other | 7 | 10% |
| Unknown | 23 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 05 November 2018.
All research outputs
#7,120,776
of 22,719,618 outputs
Outputs from Skeletal Muscle
#216
of 360 outputs
Outputs of similar age
#129,486
of 347,779 outputs
Outputs of similar age from Skeletal Muscle
#7
of 8 outputs
Altmetric has tracked 22,719,618 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 360 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.2. This one is in the 40th percentile – i.e., 40% 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 347,779 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.