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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Exaggerated false positives by popular differential expression methods when analyzing human population samples
|
|---|---|
| Published in |
Genome Biology, March 2022
|
| DOI | 10.1186/s13059-022-02648-4 |
| Pubmed ID | |
| Authors |
Yumei Li, Xinzhou Ge, Fanglue Peng, Wei Li, Jingyi Jessica Li |
X Demographics
The data shown below were collected from the profiles of 284 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 | 76 | 27% |
| United Kingdom | 19 | 7% |
| Germany | 14 | 5% |
| Spain | 7 | 2% |
| Switzerland | 7 | 2% |
| China | 6 | 2% |
| Netherlands | 5 | 2% |
| Japan | 5 | 2% |
| France | 5 | 2% |
| Other | 42 | 15% |
| Unknown | 98 | 35% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 175 | 62% |
| Members of the public | 101 | 36% |
| Science communicators (journalists, bloggers, editors) | 6 | 2% |
| Practitioners (doctors, other healthcare professionals) | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 267 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 267 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 62 | 23% |
| Researcher | 48 | 18% |
| Student > Master | 27 | 10% |
| Student > Doctoral Student | 17 | 6% |
| Student > Bachelor | 17 | 6% |
| Other | 24 | 9% |
| Unknown | 72 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 86 | 32% |
| Agricultural and Biological Sciences | 38 | 14% |
| Computer Science | 15 | 6% |
| Medicine and Dentistry | 14 | 5% |
| Neuroscience | 7 | 3% |
| Other | 33 | 12% |
| Unknown | 74 | 28% |
Attention Score in Context
This research output has an Altmetric Attention Score of 183. 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 10 April 2024.
All research outputs
#223,228
of 25,795,662 outputs
Outputs from Genome Biology
#71
of 4,517 outputs
Outputs of similar age
#6,733
of 453,001 outputs
Outputs of similar age from Genome Biology
#1
of 69 outputs
Altmetric has tracked 25,795,662 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,517 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 27.4. This one has done particularly well, scoring higher than 98% 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 453,001 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 98% of its contemporaries.
We're also able to compare this research output to 69 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 98% of its contemporaries.