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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Mobile NBM - android medical mobile application designed to help in learning how to identify the different regions of interest in the brain’s white matter
|
|---|---|
| Published in |
BMC Medical Education, July 2014
|
| DOI | 10.1186/1472-6920-14-148 |
| Pubmed ID | |
| Authors |
Iskander Sánchez-Rola, Begoña García Zapirain |
| Abstract |
One of the most critical tasks when conducting neurological studies is identifying the different regions of interest in the brain's white matter. Currently few programs or applications are available that serve as an interactive guide in this process. This is why a mobile application has been designed and developed in order to teach users how to identify the referred regions of the brain. It also enables users to share the results obtained and take an examination on the knowledge thus learnt. In order to provide direct user-user or user-developer contact, the project includes a website and a Twitter account. |
X Demographics
The data shown below were collected from the profiles of 5 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 States | 2 | 40% |
| United Kingdom | 1 | 20% |
| Unknown | 2 | 40% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 80% |
| Practitioners (doctors, other healthcare professionals) | 1 | 20% |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 1 | 2% |
| Netherlands | 1 | 2% |
| Nigeria | 1 | 2% |
| South Africa | 1 | 2% |
| Unknown | 59 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 10 | 16% |
| Student > Master | 9 | 14% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Bachelor | 7 | 11% |
| Other | 5 | 8% |
| Other | 14 | 22% |
| Unknown | 10 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 20 | 32% |
| Computer Science | 10 | 16% |
| Social Sciences | 8 | 13% |
| Business, Management and Accounting | 4 | 6% |
| Psychology | 4 | 6% |
| Other | 7 | 11% |
| Unknown | 10 | 16% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 22 April 2015.
All research outputs
#14,121,434
of 25,122,155 outputs
Outputs from BMC Medical Education
#1,651
of 3,910 outputs
Outputs of similar age
#107,252
of 234,838 outputs
Outputs of similar age from BMC Medical Education
#35
of 61 outputs
Altmetric has tracked 25,122,155 research outputs across all sources so far. This one is in the 43rd percentile – i.e., 43% of other outputs scored the same or lower than it.
So far Altmetric has tracked 3,910 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.4. This one has gotten more attention than average, scoring higher than 56% 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 234,838 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 53% of its contemporaries.
We're also able to compare this research output to 61 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.