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X Demographics
Mendeley readers
Attention Score in Context
Title |
Comparison of the molecular and cellular phenotypes of common mouse syngeneic models with human tumors
|
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Published in |
BMC Genomics, January 2020
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DOI | 10.1186/s12864-019-6344-3 |
Pubmed ID | |
Authors |
Wenyan Zhong, Jeremy S. Myers, Fang Wang, Kai Wang, Justin Lucas, Edward Rosfjord, Judy Lucas, Andrea T. Hooper, Sharon Yang, Lu Anna Lemon, Magali Guffroy, Chad May, Jadwiga R. Bienkowska, Paul A. Rejto |
X Demographics
The data shown below were collected from the profiles of 7 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 | 2 | 29% |
Australia | 1 | 14% |
Chile | 1 | 14% |
United Kingdom | 1 | 14% |
Finland | 1 | 14% |
Unknown | 1 | 14% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 4 | 57% |
Scientists | 2 | 29% |
Practitioners (doctors, other healthcare professionals) | 1 | 14% |
Mendeley readers
The data shown below were compiled from readership statistics for 216 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 216 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 45 | 21% |
Researcher | 43 | 20% |
Student > Bachelor | 22 | 10% |
Student > Master | 17 | 8% |
Student > Doctoral Student | 8 | 4% |
Other | 19 | 9% |
Unknown | 62 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Biochemistry, Genetics and Molecular Biology | 58 | 27% |
Immunology and Microbiology | 27 | 13% |
Agricultural and Biological Sciences | 16 | 7% |
Pharmacology, Toxicology and Pharmaceutical Science | 14 | 6% |
Medicine and Dentistry | 14 | 6% |
Other | 17 | 8% |
Unknown | 70 | 32% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 20 January 2020.
All research outputs
#7,286,853
of 23,184,056 outputs
Outputs from BMC Genomics
#3,425
of 10,719 outputs
Outputs of similar age
#156,253
of 457,060 outputs
Outputs of similar age from BMC Genomics
#73
of 254 outputs
Altmetric has tracked 23,184,056 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 10,719 research outputs from this source. They receive a mean Attention Score of 4.7. This one has gotten more attention than average, scoring higher than 67% 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 457,060 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 65% of its contemporaries.
We're also able to compare this research output to 254 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 70% of its contemporaries.