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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Integrative analyses of TEDDY Omics data reveal lipid metabolism abnormalities, increased intracellular ROS and heightened inflammation prior to autoimmunity for type 1 diabetes
|
|---|---|
| Published in |
Genome Biology, January 2021
|
| DOI | 10.1186/s13059-021-02262-w |
| Pubmed ID | |
| Authors |
Leandro Balzano-Nogueira, Ricardo Ramirez, Tatyana Zamkovaya, Jordan Dailey, Alexandria N. Ardissone, Srikar Chamala, Joan Serrano-Quílez, Teresa Rubio, Michael J. Haller, Patrick Concannon, Mark A. Atkinson, Desmond A. Schatz, Eric W. Triplett, Ana Conesa |
X Demographics
The data shown below were collected from the profiles of 33 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 8 | 24% |
| United Kingdom | 2 | 6% |
| Turkey | 1 | 3% |
| Mexico | 1 | 3% |
| India | 1 | 3% |
| Korea, Republic of | 1 | 3% |
| Germany | 1 | 3% |
| Hungary | 1 | 3% |
| Unknown | 17 | 52% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 19 | 58% |
| Scientists | 11 | 33% |
| Science communicators (journalists, bloggers, editors) | 2 | 6% |
| Practitioners (doctors, other healthcare professionals) | 1 | 3% |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 33 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 6 | 18% |
| Student > Bachelor | 4 | 12% |
| Other | 2 | 6% |
| Professor | 2 | 6% |
| Student > Postgraduate | 2 | 6% |
| Other | 6 | 18% |
| Unknown | 11 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 6 | 18% |
| Agricultural and Biological Sciences | 5 | 15% |
| Biochemistry, Genetics and Molecular Biology | 3 | 9% |
| Computer Science | 3 | 9% |
| Mathematics | 1 | 3% |
| Other | 4 | 12% |
| Unknown | 11 | 33% |
Attention Score in Context
This research output has an Altmetric Attention Score of 19. 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 September 2023.
All research outputs
#1,974,557
of 25,864,668 outputs
Outputs from Genome Biology
#1,633
of 4,525 outputs
Outputs of similar age
#54,935
of 535,648 outputs
Outputs of similar age from Genome Biology
#52
of 90 outputs
Altmetric has tracked 25,864,668 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 4,525 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.6. This one has gotten more attention than average, scoring higher than 63% 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 535,648 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 89% of its contemporaries.
We're also able to compare this research output to 90 others from the same source and published within six weeks on either side of this one. This one is in the 42nd percentile – i.e., 42% of its contemporaries scored the same or lower than it.