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Mendeley readers
Attention Score in Context
| Title |
Gray matter correlates of cognitive ability tests used for vocational guidance
|
|---|---|
| Published in |
BMC Research Notes, July 2010
|
| DOI | 10.1186/1756-0500-3-206 |
| Pubmed ID | |
| Authors |
Richard J Haier, David H Schroeder, Cheuk Tang, Kevin Head, Roberto Colom |
| Abstract |
Individual differences in cognitive abilities provide information that is valuable for vocational guidance, but there is an ongoing debate about the role of ability factors, including general intelligence (g), compared to individual tests. Neuroimaging can help identify brain parameters that may account for individual differences in both factors and tests. Here we investigate how eight tests used in vocational guidance correlate to regional gray matter. We compare brain networks identified by using scores for ability factors (general and specific) to those identified by using individual tests to determine whether these relatively broad and narrow approaches yield similar results. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 50% |
| Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 6% |
| Austria | 1 | 2% |
| Unknown | 47 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 10 | 20% |
| Student > Ph. D. Student | 9 | 18% |
| Researcher | 7 | 14% |
| Student > Bachelor | 4 | 8% |
| Student > Doctoral Student | 3 | 6% |
| Other | 8 | 16% |
| Unknown | 10 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 17 | 33% |
| Social Sciences | 6 | 12% |
| Agricultural and Biological Sciences | 4 | 8% |
| Medicine and Dentistry | 4 | 8% |
| Neuroscience | 3 | 6% |
| Other | 5 | 10% |
| Unknown | 12 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 18. 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 07 May 2015.
All research outputs
#1,716,173
of 22,709,015 outputs
Outputs from BMC Research Notes
#197
of 4,256 outputs
Outputs of similar age
#6,055
of 94,480 outputs
Outputs of similar age from BMC Research Notes
#3
of 25 outputs
Altmetric has tracked 22,709,015 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,256 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. 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 94,480 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 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 88% of its contemporaries.