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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Genomic data analysis workflows for tumors from patient-derived xenografts (PDXs): challenges and guidelines
|
|---|---|
| Published in |
BMC Medical Genomics, July 2019
|
| DOI | 10.1186/s12920-019-0551-2 |
| Pubmed ID | |
| Authors |
Xing Yi Woo, Anuj Srivastava, Joel H. Graber, Vinod Yadav, Vishal Kumar Sarsani, Al Simons, Glen Beane, Stephen Grubb, Guruprasad Ananda, Rangjiao Liu, Grace Stafford, Jeffrey H. Chuang, Susan D. Airhart, R. Krishna Murthy Karuturi, Joshy George, Carol J. Bult |
X Demographics
The data shown below were collected from the profiles of 8 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 | 3 | 38% |
| United Kingdom | 1 | 13% |
| France | 1 | 13% |
| Unknown | 3 | 38% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 5 | 63% |
| Members of the public | 3 | 38% |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 47 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 5 | 11% |
| Student > Ph. D. Student | 5 | 11% |
| Student > Master | 4 | 9% |
| Other | 3 | 6% |
| Student > Doctoral Student | 2 | 4% |
| Other | 4 | 9% |
| Unknown | 24 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 12 | 26% |
| Medicine and Dentistry | 4 | 9% |
| Agricultural and Biological Sciences | 2 | 4% |
| Engineering | 2 | 4% |
| Pharmacology, Toxicology and Pharmaceutical Science | 1 | 2% |
| Other | 5 | 11% |
| Unknown | 21 | 45% |
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 15 March 2021.
All research outputs
#6,281,635
of 23,577,761 outputs
Outputs from BMC Medical Genomics
#277
of 1,264 outputs
Outputs of similar age
#110,249
of 350,209 outputs
Outputs of similar age from BMC Medical Genomics
#12
of 43 outputs
Altmetric has tracked 23,577,761 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,264 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 77% 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 350,209 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 43 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 69% of its contemporaries.