| Title |
Mistaken Identifiers: Gene name errors can be introduced inadvertently when using Excel in bioinformatics
|
|---|---|
| Published in |
BMC Bioinformatics, June 2004
|
| DOI | 10.1186/1471-2105-5-80 |
| Pubmed ID | |
| Authors |
Barry R Zeeberg, Joseph Riss, David W Kane, Kimberly J Bussey, Edward Uchio, W Marston Linehan, J Carl Barrett, John N Weinstein |
X Demographics
The data shown below were collected from the profiles of 414 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 | 99 | 24% |
| United Kingdom | 37 | 9% |
| Japan | 23 | 6% |
| Canada | 16 | 4% |
| Australia | 11 | 3% |
| Spain | 7 | 2% |
| France | 7 | 2% |
| Switzerland | 7 | 2% |
| India | 7 | 2% |
| Other | 49 | 12% |
| Unknown | 151 | 36% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 273 | 66% |
| Scientists | 129 | 31% |
| Practitioners (doctors, other healthcare professionals) | 5 | 1% |
| Science communicators (journalists, bloggers, editors) | 5 | 1% |
| Unknown | 2 | <1% |
Mendeley readers
The data shown below were compiled from readership statistics for 335 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 20 | 6% |
| United Kingdom | 10 | 3% |
| Canada | 7 | 2% |
| Germany | 6 | 2% |
| France | 3 | <1% |
| Japan | 3 | <1% |
| Australia | 2 | <1% |
| Poland | 2 | <1% |
| Denmark | 2 | <1% |
| Other | 15 | 4% |
| Unknown | 265 | 79% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 114 | 34% |
| Student > Ph. D. Student | 69 | 21% |
| Student > Master | 25 | 7% |
| Other | 22 | 7% |
| Professor > Associate Professor | 22 | 7% |
| Other | 62 | 19% |
| Unknown | 21 | 6% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 167 | 50% |
| Biochemistry, Genetics and Molecular Biology | 42 | 13% |
| Computer Science | 30 | 9% |
| Medicine and Dentistry | 17 | 5% |
| Immunology and Microbiology | 9 | 3% |
| Other | 38 | 11% |
| Unknown | 32 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 602. 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 17 November 2023.
All research outputs
#39,067
of 25,930,027 outputs
Outputs from BMC Bioinformatics
#1
of 7,766 outputs
Outputs of similar age
#27
of 59,713 outputs
Outputs of similar age from BMC Bioinformatics
#1
of 17 outputs
Altmetric has tracked 25,930,027 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 7,766 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.6. 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 59,713 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 17 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 94% of its contemporaries.