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X Demographics
Mendeley readers
Attention Score in Context
| Title |
PDX Finder: A portal for patient-derived tumor xenograft model discovery
|
|---|---|
| Published in |
Nucleic Acids Research, December 2018
|
| DOI | 10.1093/nar/gky984 |
| Pubmed ID | |
| Authors |
Nathalie Conte, Jeremy C Mason, Csaba Halmagyi, Steven Neuhauser, Abayomi Mosaku, Galabina Yordanova, Aikaterini Chatzipli, Dale A Begley, Debra M Krupke, Helen Parkinson, Terrence F Meehan, Carol C Bult |
X Demographics
The data shown below were collected from the profiles of 26 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 | 7 | 27% |
| United Kingdom | 4 | 15% |
| Australia | 2 | 8% |
| Portugal | 1 | 4% |
| India | 1 | 4% |
| Spain | 1 | 4% |
| Mexico | 1 | 4% |
| Unknown | 9 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 14 | 54% |
| Scientists | 12 | 46% |
Mendeley readers
The data shown below were compiled from readership statistics for 62 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 62 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 15 | 24% |
| Student > Ph. D. Student | 10 | 16% |
| Other | 8 | 13% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 6 | 10% |
| Unknown | 15 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 27% |
| Computer Science | 6 | 10% |
| Medicine and Dentistry | 6 | 10% |
| Agricultural and Biological Sciences | 3 | 5% |
| Pharmacology, Toxicology and Pharmaceutical Science | 2 | 3% |
| Other | 7 | 11% |
| Unknown | 21 | 34% |
Attention Score in Context
This research output has an Altmetric Attention Score of 14. 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 08 January 2019.
All research outputs
#2,269,688
of 23,500,709 outputs
Outputs from Nucleic Acids Research
#2,535
of 26,629 outputs
Outputs of similar age
#53,121
of 438,958 outputs
Outputs of similar age from Nucleic Acids Research
#75
of 337 outputs
Altmetric has tracked 23,500,709 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 26,629 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done particularly well, scoring higher than 90% 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 438,958 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 337 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 77% of its contemporaries.