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X Demographics
Mendeley readers
Attention Score in Context
| Title |
Processing genome scale tabular data with wormtable
|
|---|---|
| Published in |
BMC Bioinformatics, December 2013
|
| DOI | 10.1186/1471-2105-14-356 |
| Pubmed ID | |
| Authors |
Jerome Kelleher, Rob W Ness, Daniel L Halligan |
| Abstract |
Modern biological science generates a vast amount of data, the analysis of which presents a major challenge to researchers. Data are commonly represented in tables stored as plain text files and require line-by-line parsing for analysis, which is time consuming and error prone. Furthermore, there is no simple means of indexing these files so that rows containing particular values can be quickly found. |
X Demographics
The data shown below were collected from the profiles of 22 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 Kingdom | 3 | 14% |
| United States | 3 | 14% |
| France | 2 | 9% |
| Canada | 2 | 9% |
| Norway | 1 | 5% |
| Sweden | 1 | 5% |
| Switzerland | 1 | 5% |
| Unknown | 9 | 41% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 11 | 50% |
| Scientists | 11 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 2 | 6% |
| Sweden | 1 | 3% |
| Russia | 1 | 3% |
| Australia | 1 | 3% |
| Unknown | 29 | 85% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 26% |
| Student > Ph. D. Student | 6 | 18% |
| Student > Master | 4 | 12% |
| Other | 4 | 12% |
| Student > Bachelor | 3 | 9% |
| Other | 7 | 21% |
| Unknown | 1 | 3% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 19 | 56% |
| Biochemistry, Genetics and Molecular Biology | 5 | 15% |
| Linguistics | 2 | 6% |
| Computer Science | 2 | 6% |
| Mathematics | 1 | 3% |
| Other | 3 | 9% |
| Unknown | 2 | 6% |
Attention Score in Context
This research output has an Altmetric Attention Score of 20. 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 04 March 2014.
All research outputs
#1,774,629
of 24,666,614 outputs
Outputs from BMC Bioinformatics
#350
of 7,565 outputs
Outputs of similar age
#20,024
of 318,678 outputs
Outputs of similar age from BMC Bioinformatics
#10
of 107 outputs
Altmetric has tracked 24,666,614 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 7,565 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.5. This one has done particularly well, scoring higher than 95% 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 318,678 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 93% of its contemporaries.
We're also able to compare this research output to 107 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 91% of its contemporaries.