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X Demographics
Mendeley readers
Attention Score in Context
| Title |
The transcriptome-wide association search for genes and genetic variants which associate with BMI and gestational weight gain in women with type 1 diabetes
|
|---|---|
| Published in |
Molecular Medicine, January 2021
|
| DOI | 10.1186/s10020-020-00266-z |
| Pubmed ID | |
| Authors |
Agnieszka H. Ludwig-Słomczyńska, Michał T. Seweryn, Przemysław Kapusta, Ewelina Pitera, Urszula Mantaj, Katarzyna Cyganek, Paweł Gutaj, Łucja Dobrucka, Ewa Wender-Ożegowska, Maciej T. Małecki, Paweł P. Wołkow |
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 % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 16% |
| Student > Master | 3 | 12% |
| Student > Ph. D. Student | 3 | 12% |
| Unspecified | 1 | 4% |
| Librarian | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 11 | 44% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 12% |
| Medicine and Dentistry | 3 | 12% |
| Nursing and Health Professions | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 13 | 52% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 25 February 2021.
All research outputs
#18,119,559
of 23,275,636 outputs
Outputs from Molecular Medicine
#908
of 1,162 outputs
Outputs of similar age
#357,171
of 503,627 outputs
Outputs of similar age from Molecular Medicine
#11
of 16 outputs
Altmetric has tracked 23,275,636 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,162 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.5. This one is in the 19th percentile – i.e., 19% of its peers scored the same or lower than it.
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 503,627 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 16 others from the same source and published within six weeks on either side of this one. This one is in the 25th percentile – i.e., 25% of its contemporaries scored the same or lower than it.