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Mendeley readers
Attention Score in Context
| Title |
Pattern of neural responses to verbal fluency shows diagnostic specificity for schizophrenia and bipolar disorder
|
|---|---|
| Published in |
BMC Psychiatry, January 2011
|
| DOI | 10.1186/1471-244x-11-18 |
| Pubmed ID | |
| Authors |
Sergi G Costafreda, Cynthia HY Fu, Marco Picchioni, Timothea Toulopoulou, Colm McDonald, Eugenia Kravariti, Muriel Walshe, Diana Prata, Robin M Murray, Philip K McGuire |
Mendeley readers
The data shown below were compiled from readership statistics for 255 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Germany | 3 | 1% |
| United States | 3 | 1% |
| Argentina | 2 | <1% |
| United Kingdom | 2 | <1% |
| Japan | 2 | <1% |
| Brazil | 1 | <1% |
| New Zealand | 1 | <1% |
| Belgium | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 2 | <1% |
| Unknown | 237 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 43 | 17% |
| Researcher | 38 | 15% |
| Student > Master | 32 | 13% |
| Student > Bachelor | 22 | 9% |
| Other | 17 | 7% |
| Other | 59 | 23% |
| Unknown | 44 | 17% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 72 | 28% |
| Medicine and Dentistry | 54 | 21% |
| Neuroscience | 25 | 10% |
| Computer Science | 11 | 4% |
| Engineering | 9 | 4% |
| Other | 24 | 9% |
| Unknown | 60 | 24% |
Attention Score in Context
This research output has an Altmetric Attention Score of 84. 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 15 April 2017.
All research outputs
#516,902
of 25,837,817 outputs
Outputs from BMC Psychiatry
#129
of 5,507 outputs
Outputs of similar age
#2,191
of 196,043 outputs
Outputs of similar age from BMC Psychiatry
#3
of 26 outputs
Altmetric has tracked 25,837,817 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 97th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 5,507 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.4. This one has done particularly well, scoring higher than 97% 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 196,043 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 98% of its contemporaries.
We're also able to compare this research output to 26 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.