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X Demographics
Mendeley readers
Attention Score in Context
Title |
Gene name errors are widespread in the scientific literature
|
---|---|
Published in |
Genome Biology, August 2016
|
DOI | 10.1186/s13059-016-1044-7 |
Pubmed ID | |
Authors |
Mark Ziemann, Yotam Eren, Assam El-Osta |
Abstract |
The spreadsheet software Microsoft Excel, when used with default settings, is known to convert gene names to dates and floating-point numbers. A programmatic scan of leading genomics journals reveals that approximately one-fifth of papers with supplementary Excel gene lists contain erroneous gene name conversions. |
X Demographics
The data shown below were collected from the profiles of 3,804 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 | 807 | 21% |
United Kingdom | 241 | 6% |
Spain | 123 | 3% |
Canada | 106 | 3% |
Germany | 102 | 3% |
Japan | 93 | 2% |
France | 85 | 2% |
Australia | 65 | 2% |
Finland | 39 | 1% |
Other | 531 | 14% |
Unknown | 1612 | 42% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2768 | 73% |
Scientists | 876 | 23% |
Science communicators (journalists, bloggers, editors) | 103 | 3% |
Practitioners (doctors, other healthcare professionals) | 54 | 1% |
Unknown | 3 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 423 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 9 | 2% |
Germany | 6 | 1% |
United Kingdom | 5 | 1% |
Netherlands | 4 | <1% |
Colombia | 2 | <1% |
Israel | 2 | <1% |
Chile | 2 | <1% |
Hungary | 2 | <1% |
Finland | 2 | <1% |
Other | 11 | 3% |
Unknown | 378 | 89% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 96 | 23% |
Researcher | 96 | 23% |
Student > Master | 37 | 9% |
Student > Bachelor | 34 | 8% |
Other | 31 | 7% |
Other | 89 | 21% |
Unknown | 40 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 117 | 28% |
Biochemistry, Genetics and Molecular Biology | 78 | 18% |
Computer Science | 38 | 9% |
Medicine and Dentistry | 29 | 7% |
Neuroscience | 12 | 3% |
Other | 88 | 21% |
Unknown | 61 | 14% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3023. 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 28 March 2024.
All research outputs
#2,198
of 25,813,008 outputs
Outputs from Genome Biology
#1
of 4,520 outputs
Outputs of similar age
#15
of 355,719 outputs
Outputs of similar age from Genome Biology
#1
of 55 outputs
Altmetric has tracked 25,813,008 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 4,520 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 28.2. This one has done particularly well, scoring higher than 99% 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 355,719 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 99% of its contemporaries.
We're also able to compare this research output to 55 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.