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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Machine learning identifies “rsfMRI epilepsy networks” in temporal lobe epilepsy
|
|---|---|
| Published in |
European Radiology, February 2019
|
| DOI | 10.1007/s00330-019-5997-2 |
| Pubmed ID | |
| Authors |
Rose Dawn Bharath, Rajanikant Panda, Jeetu Raj, Sujas Bhardwaj, Sanjib Sinha, Ganne Chaitanya, Kenchaiah Raghavendra, Ravindranadh C. Mundlamuri, Arivazhagan Arimappamagan, Malla Bhaskara Rao, Jamuna Rajeshwaran, Kandavel Thennarasu, Kaushik K. Majumdar, Parthasarthy Satishchandra, Tapan K. Gandhi |
X Demographics
The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 25% |
| United States | 1 | 25% |
| Netherlands | 1 | 25% |
| Unknown | 1 | 25% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 50% |
| Practitioners (doctors, other healthcare professionals) | 2 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 100 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 100 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 19% |
| Student > Bachelor | 13 | 13% |
| Student > Ph. D. Student | 13 | 13% |
| Other | 9 | 9% |
| Student > Master | 7 | 7% |
| Other | 15 | 15% |
| Unknown | 24 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Neuroscience | 20 | 20% |
| Medicine and Dentistry | 17 | 17% |
| Computer Science | 7 | 7% |
| Engineering | 7 | 7% |
| Psychology | 5 | 5% |
| Other | 15 | 15% |
| Unknown | 29 | 29% |
Attention Score in Context
This research output has an Altmetric Attention Score of 13. 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 01 January 2022.
All research outputs
#2,400,634
of 22,792,160 outputs
Outputs from European Radiology
#221
of 4,114 outputs
Outputs of similar age
#60,882
of 437,720 outputs
Outputs of similar age from European Radiology
#5
of 84 outputs
Altmetric has tracked 22,792,160 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,114 research outputs from this source. They receive a mean Attention Score of 4.5. This one has done particularly well, scoring higher than 94% 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 437,720 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 84 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 94% of its contemporaries.