The data shown below were collected from the profiles of 333 X users who shared this research output. Click here to find out more about how the information was compiled.
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| Title |
An energy costly architecture of neuromodulators for human brain evolution and cognition
|
|---|---|
| Published in |
Science Advances, December 2023
|
| DOI | 10.1126/sciadv.adi7632 |
| Pubmed ID | |
| Authors |
Gabriel Castrillon, Samira Epp, Antonia Bose, Laura Fraticelli, André Hechler, Roman Belenya, Andreas Ranft, Igor Yakushev, Lukas Utz, Lalith Sundar, Josef P Rauschecker, Christine Preibisch, Katarzyna Kurcyus, Valentin Riedl |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 6 | 2% |
| United States | 4 | 1% |
| Germany | 4 | 1% |
| France | 4 | 1% |
| Mexico | 3 | <1% |
| Colombia | 3 | <1% |
| United Kingdom | 3 | <1% |
| Saudi Arabia | 1 | <1% |
| Canada | 1 | <1% |
| Other | 8 | 2% |
| Unknown | 296 | 89% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 237 | 71% |
| Scientists | 76 | 23% |
| Practitioners (doctors, other healthcare professionals) | 16 | 5% |
| Science communicators (journalists, bloggers, editors) | 4 | 1% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Professor | 8 | 19% |
| Other | 5 | 12% |
| Researcher | 5 | 12% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Doctoral Student | 2 | 5% |
| Other | 8 | 19% |
| Unknown | 12 | 28% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 11 | 26% |
| Psychology | 4 | 9% |
| Engineering | 3 | 7% |
| Agricultural and Biological Sciences | 3 | 7% |
| Biochemistry, Genetics and Molecular Biology | 2 | 5% |
| Other | 7 | 16% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 312. 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 16 August 2024.
All research outputs
#117,184
of 26,290,653 outputs
Outputs from Science Advances
#1,152
of 13,397 outputs
Outputs of similar age
#1,908
of 395,786 outputs
Outputs of similar age from Science Advances
#35
of 479 outputs
Altmetric has tracked 26,290,653 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 13,397 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 118.3. This one has done particularly well, scoring higher than 91% 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 395,786 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 99% of its contemporaries.
We're also able to compare this research output to 479 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 92% of its contemporaries.