The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
As of 1 July 2024, you may notice a temporary increase in the numbers of X profiles with Unknown location. Click here to learn more.
| Title |
High-Throughput Screening of Mouse Gene Knockouts Identifies Established and Novel High Body Fat Phenotypes
|
|---|---|
| Published in |
Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy, August 2021
|
| DOI | 10.2147/dmso.s322083 |
| Pubmed ID | |
| Authors |
David R Powell, Jean-Pierre Revelli, Deon D Doree, Christopher M DaCosta, Urvi Desai, Melanie K Shadoan, Lawrence Rodriguez, Michael Mullens, Qi M Yang, Zhi-Ming Ding, Laura L Kirkpatrick, Peter Vogel, Brian Zambrowicz, Arthur T Sands, Kenneth A Platt, Gwenn M Hansen, Robert Brommage |
X Demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 25% |
| Unknown | 3 | 75% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 100% |
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 % |
|---|---|---|
| Student > Ph. D. Student | 4 | 12% |
| Researcher | 4 | 12% |
| Student > Master | 4 | 12% |
| Student > Bachelor | 4 | 12% |
| Unspecified | 1 | 3% |
| Other | 2 | 6% |
| Unknown | 14 | 42% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 18% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 6% |
| Psychology | 2 | 6% |
| Nursing and Health Professions | 2 | 6% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 6 | 18% |
| Unknown | 14 | 42% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 24 January 2024.
All research outputs
#15,295,400
of 26,538,769 outputs
Outputs from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#430
of 1,218 outputs
Outputs of similar age
#199,103
of 446,518 outputs
Outputs of similar age from Diabetes, Metabolic Syndrome and Obesity: Targets and Therapy
#14
of 45 outputs
Altmetric has tracked 26,538,769 research outputs across all sources so far. This one is in the 42nd percentile – i.e., 42% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,218 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.3. This one has gotten more attention than average, scoring higher than 64% 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 446,518 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 54% of its contemporaries.
We're also able to compare this research output to 45 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 68% of its contemporaries.