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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Precision of Digital Volume Correlation Approaches for Strain Analysis in Bone Imaged with Micro-Computed Tomography at Different Dimensional Levels
|
|---|---|
| Published in |
Frontiers in Materials, November 2017
|
| DOI | 10.3389/fmats.2017.00031 |
| Authors |
Enrico Dall’Ara, Marta Peña-Fernández, Marco Palanca, Mario Giorgi, Luca Cristofolini, Gianluca Tozzi |
X Demographics
The data shown below were collected from the profiles of 8 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 | 13% |
| Hong Kong | 1 | 13% |
| United Kingdom | 1 | 13% |
| Italy | 1 | 13% |
| Unknown | 4 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 50% |
| Scientists | 4 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 97 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 97 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 24 | 25% |
| Student > Master | 16 | 16% |
| Researcher | 12 | 12% |
| Professor > Associate Professor | 8 | 8% |
| Student > Doctoral Student | 6 | 6% |
| Other | 10 | 10% |
| Unknown | 21 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 42 | 43% |
| Materials Science | 11 | 11% |
| Business, Management and Accounting | 2 | 2% |
| Computer Science | 2 | 2% |
| Biochemistry, Genetics and Molecular Biology | 2 | 2% |
| Other | 12 | 12% |
| Unknown | 26 | 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 23 January 2018.
All research outputs
#5,696,692
of 23,007,887 outputs
Outputs from Frontiers in Materials
#79
of 2,508 outputs
Outputs of similar age
#93,285
of 331,430 outputs
Outputs of similar age from Frontiers in Materials
#4
of 17 outputs
Altmetric has tracked 23,007,887 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 2,508 research outputs from this source. They receive a mean Attention Score of 1.4. This one has done particularly well, scoring higher than 96% 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 331,430 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 71% of its contemporaries.
We're also able to compare this research output to 17 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 76% of its contemporaries.