| Title |
Integrated lipidomic and transcriptomic analyses identify altered nerve triglycerides in mouse models of prediabetes and type 2 diabetes
|
|---|---|
| Published in |
Disease Models and Mechanisms, January 2019
|
| DOI | 10.1242/dmm.042101 |
| Pubmed ID | |
| Authors |
Phillipe D. O'Brien, Kai Guo, Stephanie A. Eid, Amy E. Rumora, Lucy M. Hinder, John M. Hayes, Faye E. Mendelson, Junguk Hur, Eva L. Feldman, Annemieke Aartsma-Rus, James Dowling, Maaike van Putten |
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 % |
|---|---|---|
| United Kingdom | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Science communicators (journalists, bloggers, editors) | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 43 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 7 | 16% |
| Other | 4 | 9% |
| Student > Master | 4 | 9% |
| Student > Bachelor | 3 | 7% |
| Unspecified | 3 | 7% |
| Other | 9 | 21% |
| Unknown | 13 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Medicine and Dentistry | 8 | 19% |
| Biochemistry, Genetics and Molecular Biology | 6 | 14% |
| Engineering | 4 | 9% |
| Unspecified | 3 | 7% |
| Neuroscience | 3 | 7% |
| Other | 6 | 14% |
| Unknown | 13 | 30% |
Attention Score in Context
This research output has an Altmetric Attention Score of 15. 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 22 December 2022.
All research outputs
#2,401,684
of 25,387,668 outputs
Outputs from Disease Models and Mechanisms
#261
of 1,923 outputs
Outputs of similar age
#53,873
of 446,429 outputs
Outputs of similar age from Disease Models and Mechanisms
#21
of 118 outputs
Altmetric has tracked 25,387,668 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 90th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,923 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.4. This one has done well, scoring higher than 86% 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 446,429 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 87% of its contemporaries.
We're also able to compare this research output to 118 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 82% of its contemporaries.