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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Using the mood disorder questionnaire and bipolar spectrum diagnostic scale to detect bipolar disorder and borderline personality disorder among eating disorder patients
|
|---|---|
| Published in |
BMC Psychiatry, February 2013
|
| DOI | 10.1186/1471-244x-13-69 |
| Pubmed ID | |
| Authors |
Toshihiko Nagata, Hisashi Yamada, Alan R Teo, Chiho Yoshimura, Yuya Kodama, Irene van Vliet |
| Abstract |
Screening scales for bipolar disorder including the Mood Disorder Questionnaire (MDQ) and Bipolar Spectrum Diagnostic Scale (BSDS) have been plagued by high false positive rates confounded by presence of borderline personality disorder. This study examined the accuracy of these scales for detecting bipolar disorder among patients referred for eating disorders and explored the possibility of simultaneous assessment of co-morbid borderline personality disorder. |
X Demographics
The data shown below were collected from the profiles of 8 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 | 13% |
| United States | 1 | 13% |
| Egypt | 1 | 13% |
| Unknown | 5 | 63% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 6 | 75% |
| Science communicators (journalists, bloggers, editors) | 1 | 13% |
| Practitioners (doctors, other healthcare professionals) | 1 | 13% |
Mendeley readers
The data shown below were compiled from readership statistics for 78 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 1% |
| Unknown | 77 | 99% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 13 | 17% |
| Student > Postgraduate | 10 | 13% |
| Researcher | 9 | 12% |
| Student > Master | 9 | 12% |
| Student > Ph. D. Student | 5 | 6% |
| Other | 14 | 18% |
| Unknown | 18 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Psychology | 23 | 29% |
| Medicine and Dentistry | 20 | 26% |
| Nursing and Health Professions | 4 | 5% |
| Social Sciences | 3 | 4% |
| Computer Science | 2 | 3% |
| Other | 6 | 8% |
| Unknown | 20 | 26% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. 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 17 December 2018.
All research outputs
#5,691,942
of 22,699,621 outputs
Outputs from BMC Psychiatry
#1,946
of 4,642 outputs
Outputs of similar age
#46,940
of 193,194 outputs
Outputs of similar age from BMC Psychiatry
#35
of 91 outputs
Altmetric has tracked 22,699,621 research outputs across all sources so far. This one has received more attention than most of these and is in the 74th percentile.
So far Altmetric has tracked 4,642 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.8. This one has gotten more attention than average, scoring higher than 57% 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 193,194 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 75% of its contemporaries.
We're also able to compare this research output to 91 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 61% of its contemporaries.