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X Demographics
Mendeley readers
Attention Score in Context
| Title |
A New Pipeline to Automatically Segment and Semi-Automatically Measure Bone Length on 3D Models Obtained by Computed Tomography
|
|---|---|
| Published in |
Frontiers in Cell and Developmental Biology, August 2021
|
| DOI | 10.3389/fcell.2021.736574 |
| Pubmed ID | |
| Authors |
Santiago Beltran Diaz, Chee Ho H’ng, Xinli Qu, Michael Doube, John Tan Nguyen, Michael de Veer, Olga Panagiotopoulou, Alberto Rosello-Diez |
X Demographics
The data shown below were collected from the profiles of 10 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 | 20% |
| Australia | 2 | 20% |
| Hong Kong | 1 | 10% |
| Spain | 1 | 10% |
| France | 1 | 10% |
| Unknown | 3 | 30% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 60% |
| Scientists | 4 | 40% |
Mendeley readers
The data shown below were compiled from readership statistics for 11 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 11 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 27% |
| Researcher | 2 | 18% |
| Student > Bachelor | 1 | 9% |
| Other | 1 | 9% |
| Lecturer | 1 | 9% |
| Other | 1 | 9% |
| Unknown | 2 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 3 | 27% |
| Neuroscience | 3 | 27% |
| Biochemistry, Genetics and Molecular Biology | 1 | 9% |
| Agricultural and Biological Sciences | 1 | 9% |
| Unknown | 3 | 27% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 September 2021.
All research outputs
#6,088,949
of 24,542,484 outputs
Outputs from Frontiers in Cell and Developmental Biology
#1,331
of 10,017 outputs
Outputs of similar age
#115,850
of 421,360 outputs
Outputs of similar age from Frontiers in Cell and Developmental Biology
#130
of 992 outputs
Altmetric has tracked 24,542,484 research outputs across all sources so far. Compared to these this one has done well and is in the 75th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 10,017 research outputs from this source. They receive a mean Attention Score of 3.5. This one has done well, scoring higher than 86% 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 421,360 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 72% of its contemporaries.
We're also able to compare this research output to 992 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.