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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Can harmonisation of outcomes bridge the translation gap for pre-clinical research? A systematic review of outcomes measured in mouse models of type 2 diabetes
|
|---|---|
| Published in |
Journal of Translational Medicine, December 2020
|
| DOI | 10.1186/s12967-020-02649-6 |
| Pubmed ID | |
| Authors |
Nicola L. Harman, Adrián Sanz-Moreno, Stamatia Papoutsopoulou, Katie A. Lloyd, Kamar E. Ameen-Ali, Malcolm Macleod, Paula R. Williamson |
X Demographics
The data shown below were collected from the profiles of 6 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 Kingdom | 2 | 33% |
| Comoros | 1 | 17% |
| Unknown | 3 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 5 | 83% |
| Scientists | 1 | 17% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 19% |
| Student > Ph. D. Student | 2 | 13% |
| Unspecified | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 6 | 38% |
| Readers by discipline | Count | As % |
|---|---|---|
| Nursing and Health Professions | 3 | 19% |
| Veterinary Science and Veterinary Medicine | 1 | 6% |
| Unspecified | 1 | 6% |
| Agricultural and Biological Sciences | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 2 | 13% |
| Unknown | 7 | 44% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 2020.
All research outputs
#6,388,040
of 23,267,128 outputs
Outputs from Journal of Translational Medicine
#976
of 4,101 outputs
Outputs of similar age
#156,995
of 508,421 outputs
Outputs of similar age from Journal of Translational Medicine
#32
of 93 outputs
Altmetric has tracked 23,267,128 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 4,101 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 10.6. This one has done well, scoring higher than 76% 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 508,421 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 93 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 65% of its contemporaries.