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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Characterizing long-range search behavior in Diptera using complex 3D virtual environments
|
|---|---|
| Published in |
Proceedings of the National Academy of Sciences of the United States of America, May 2020
|
| DOI | 10.1073/pnas.1912124117 |
| Pubmed ID | |
| Authors |
Pavan Kumar Kaushik, Marian Renz, Shannon B Olsson |
X Demographics
The data shown below were collected from the profiles of 46 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 15 | 33% |
| United States | 6 | 13% |
| United Kingdom | 4 | 9% |
| Canada | 3 | 7% |
| France | 2 | 4% |
| Japan | 2 | 4% |
| Germany | 1 | 2% |
| Sweden | 1 | 2% |
| Ireland | 1 | 2% |
| Other | 1 | 2% |
| Unknown | 10 | 22% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 27 | 59% |
| Scientists | 16 | 35% |
| Science communicators (journalists, bloggers, editors) | 3 | 7% |
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 66 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 13 | 20% |
| Student > Ph. D. Student | 11 | 17% |
| Researcher | 10 | 15% |
| Student > Bachelor | 6 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 5 | 8% |
| Unknown | 18 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 20 | 30% |
| Neuroscience | 8 | 12% |
| Psychology | 3 | 5% |
| Physics and Astronomy | 3 | 5% |
| Nursing and Health Professions | 2 | 3% |
| Other | 9 | 14% |
| Unknown | 21 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 170. 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 10 January 2021.
All research outputs
#236,030
of 25,262,379 outputs
Outputs from Proceedings of the National Academy of Sciences of the United States of America
#4,405
of 102,654 outputs
Outputs of similar age
#7,416
of 396,282 outputs
Outputs of similar age from Proceedings of the National Academy of Sciences of the United States of America
#122
of 1,002 outputs
Altmetric has tracked 25,262,379 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 102,654 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 39.2. 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 396,282 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 98% of its contemporaries.
We're also able to compare this research output to 1,002 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 87% of its contemporaries.