You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
X Demographics
Mendeley readers
Attention Score in Context
| Title |
Item response theory and differential test functioning analysis of the HBSC-Symptom-Checklist across 46 countries
|
|---|---|
| Published in |
BMC Medical Research Methodology, September 2022
|
| DOI | 10.1186/s12874-022-01698-3 |
| Pubmed ID | |
| Authors |
Andreas Heinz, Philipp E. Sischka, Carolina Catunda, Alina Cosma, Irene García-Moya, Nelli Lyyra, Anne Kaman, Ulrike Ravens-Sieberer, William Pickett |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 19 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 11% |
| Student > Ph. D. Student | 2 | 11% |
| Student > Master | 2 | 11% |
| Professor | 1 | 5% |
| Lecturer | 1 | 5% |
| Other | 2 | 11% |
| Unknown | 9 | 47% |
| Readers by discipline | Count | As % |
|---|---|---|
| Social Sciences | 3 | 16% |
| Psychology | 2 | 11% |
| Biochemistry, Genetics and Molecular Biology | 1 | 5% |
| Mathematics | 1 | 5% |
| Nursing and Health Professions | 1 | 5% |
| Other | 3 | 16% |
| Unknown | 8 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 16 May 2023.
All research outputs
#7,374,075
of 25,420,980 outputs
Outputs from BMC Medical Research Methodology
#1,106
of 2,282 outputs
Outputs of similar age
#134,881
of 437,043 outputs
Outputs of similar age from BMC Medical Research Methodology
#19
of 48 outputs
Altmetric has tracked 25,420,980 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 2,282 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.5. This one has gotten more attention than average, scoring higher than 50% 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 437,043 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 68% of its contemporaries.
We're also able to compare this research output to 48 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 62% of its contemporaries.