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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Endless Forams: >34,000 Modern Planktonic Foraminiferal Images for Taxonomic Training and Automated Species Recognition Using Convolutional Neural Networks
|
|---|---|
| Published in |
Paleoceanography and Paleoclimatology, July 2019
|
| DOI | 10.1029/2019pa003612 |
| Authors |
Allison Y. Hsiang, Anieke Brombacher, Marina C. Rillo, Maryline J. Mleneck‐Vautravers, Stephen Conn, Sian Lordsmith, Anna Jentzen, Michael J. Henehan, Brett Metcalfe, Isabel S. Fenton, Bridget S. Wade, Lyndsey Fox, Julie Meilland, Catherine V. Davis, Ulrike Baranowski, Jeroen Groeneveld, Kirsty M. Edgar, Aurore Movellan, Tracy Aze, Harry J. Dowsett, C. Giles Miller, Nelson Rios, Pincelli M. Hull |
X Demographics
The data shown below were collected from the profiles of 45 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 | 8 | 18% |
| United States | 8 | 18% |
| Chile | 1 | 2% |
| New Zealand | 1 | 2% |
| Sweden | 1 | 2% |
| Spain | 1 | 2% |
| Argentina | 1 | 2% |
| Peru | 1 | 2% |
| Venezuela, Bolivarian Republic of | 1 | 2% |
| Other | 6 | 13% |
| Unknown | 16 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 24 | 53% |
| Scientists | 17 | 38% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
| Practitioners (doctors, other healthcare professionals) | 1 | 2% |
Mendeley readers
The data shown below were compiled from readership statistics for 88 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 88 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 23 | 26% |
| Student > Ph. D. Student | 12 | 14% |
| Student > Master | 10 | 11% |
| Student > Bachelor | 5 | 6% |
| Student > Doctoral Student | 5 | 6% |
| Other | 14 | 16% |
| Unknown | 19 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Earth and Planetary Sciences | 29 | 33% |
| Agricultural and Biological Sciences | 8 | 9% |
| Engineering | 6 | 7% |
| Environmental Science | 4 | 5% |
| Computer Science | 3 | 3% |
| Other | 9 | 10% |
| Unknown | 29 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 64. 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 December 2022.
All research outputs
#664,944
of 25,295,968 outputs
Outputs from Paleoceanography and Paleoclimatology
#25
of 527 outputs
Outputs of similar age
#13,950
of 352,379 outputs
Outputs of similar age from Paleoceanography and Paleoclimatology
#2
of 29 outputs
Altmetric has tracked 25,295,968 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 527 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. 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 352,379 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 96% of its contemporaries.
We're also able to compare this research output to 29 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.