The data shown below were collected from the profiles of 25 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 |
PyTrx: A Python-Based Monoscopic Terrestrial Photogrammetry Toolset for Glaciology
|
|---|---|
| Published in |
Frontiers in Earth Science, February 2020
|
| DOI | 10.3389/feart.2020.00021 |
| Authors |
Penelope How, Nicholas R. J. Hulton, Lynne Buie, Douglas I. Benn |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 5 | 20% |
| Switzerland | 1 | 4% |
| Iceland | 1 | 4% |
| China | 1 | 4% |
| United States | 1 | 4% |
| Austria | 1 | 4% |
| Denmark | 1 | 4% |
| Norway | 1 | 4% |
| Chile | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 10 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 56% |
| Scientists | 11 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 9 | 22% |
| Student > Ph. D. Student | 7 | 17% |
| Researcher | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Other | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 11 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 18 | 44% |
| Engineering | 2 | 5% |
| Agricultural and Biological Sciences | 2 | 5% |
| Linguistics | 1 | 2% |
| Computer Science | 1 | 2% |
| Other | 5 | 12% |
| Unknown | 12 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 17. 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 28 September 2022.
All research outputs
#2,260,931
of 26,143,998 outputs
Outputs from Frontiers in Earth Science
#294
of 6,279 outputs
Outputs of similar age
#55,831
of 485,440 outputs
Outputs of similar age from Frontiers in Earth Science
#8
of 96 outputs
Altmetric has tracked 26,143,998 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 91st percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 6,279 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done particularly well, scoring higher than 95% 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 485,440 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 88% of its contemporaries.
We're also able to compare this research output to 96 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 91% of its contemporaries.