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 |
Characterizing Neural Entrainment to Hierarchical Linguistic Units using Electroencephalography (EEG)
|
|---|---|
| Published in |
Frontiers in Human Neuroscience, September 2017
|
| DOI | 10.3389/fnhum.2017.00481 |
| Pubmed ID | |
| Authors |
Nai Ding, Lucia Melloni, Aotian Yang, Yu Wang, Wen Zhang, David Poeppel |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 16% |
| United Kingdom | 3 | 12% |
| Australia | 2 | 8% |
| Ireland | 1 | 4% |
| France | 1 | 4% |
| Switzerland | 1 | 4% |
| Italy | 1 | 4% |
| Unknown | 12 | 48% |
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 197 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 197 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 49 | 25% |
| Researcher | 31 | 16% |
| Student > Master | 28 | 14% |
| Student > Doctoral Student | 14 | 7% |
| Student > Bachelor | 12 | 6% |
| Other | 24 | 12% |
| Unknown | 39 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 45 | 23% |
| Psychology | 31 | 16% |
| Linguistics | 21 | 11% |
| Engineering | 7 | 4% |
| Arts and Humanities | 7 | 4% |
| Other | 25 | 13% |
| Unknown | 61 | 31% |
Attention Score in Context
This research output has an Altmetric Attention Score of 16. 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 18 April 2019.
All research outputs
#2,440,231
of 26,452,360 outputs
Outputs from Frontiers in Human Neuroscience
#1,099
of 7,837 outputs
Outputs of similar age
#43,919
of 333,361 outputs
Outputs of similar age from Frontiers in Human Neuroscience
#23
of 134 outputs
Altmetric has tracked 26,452,360 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,837 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.2. This one has done well, scoring higher than 85% 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 333,361 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 86% of its contemporaries.
We're also able to compare this research output to 134 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.