The data shown below were collected from the profiles of 53 X users who shared this research output. Click here to find out more about how the information was compiled.
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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A Workflow for Rapid Unbiased Quantification of Fibrillar Feature Alignment in Biological Images
|
|---|---|
| Published in |
Frontiers in Computer Science, October 2021
|
| DOI | 10.3389/fcomp.2021.745831 |
| Pubmed ID | |
| Authors |
Stefania Marcotti, Deandra Belo de Freitas, Lee D Troughton, Fiona N Kenny, Tanya J Shaw, Brian M Stramer, Patrick W Oakes |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 9% |
| United Kingdom | 5 | 9% |
| Germany | 2 | 4% |
| France | 2 | 4% |
| Sweden | 2 | 4% |
| Italy | 1 | 2% |
| Portugal | 1 | 2% |
| Canada | 1 | 2% |
| Unknown | 34 | 64% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 29 | 55% |
| Scientists | 24 | 45% |
Mendeley readers
The data shown below were compiled from readership statistics for 60 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 60 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 32% |
| Student > Master | 7 | 12% |
| Researcher | 7 | 12% |
| Student > Bachelor | 3 | 5% |
| Student > Doctoral Student | 3 | 5% |
| Other | 3 | 5% |
| Unknown | 18 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 11 | 18% |
| Agricultural and Biological Sciences | 6 | 10% |
| Engineering | 6 | 10% |
| Physics and Astronomy | 5 | 8% |
| Computer Science | 3 | 5% |
| Other | 9 | 15% |
| Unknown | 20 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 32. 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 14 September 2023.
All research outputs
#1,294,347
of 26,052,823 outputs
Outputs from Frontiers in Computer Science
#15
of 572 outputs
Outputs of similar age
#29,687
of 441,961 outputs
Outputs of similar age from Frontiers in Computer Science
#1
of 28 outputs
Altmetric has tracked 26,052,823 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 95th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 572 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 97% 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 441,961 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 93% of its contemporaries.
We're also able to compare this research output to 28 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 96% of its contemporaries.