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X Demographics
Mendeley readers
Attention Score in Context
| Title |
BIFI: a Taverna plugin for a simplified and user-friendly workflow platform
|
|---|---|
| Published in |
BMC Research Notes, October 2014
|
| DOI | 10.1186/1756-0500-7-740 |
| Pubmed ID | |
| Authors |
Ahmet Yildiz, Erkan Dilaveroglu, Ilhami Visne, Bilal Günay, Emrah Sefer, Andreas Weinhausel, Frank Rattay, Carole A Goble, Ram Vinay Pandey, Albert Kriegner |
| Abstract |
Heterogeneity in the features, input-output behaviour and user interface for available bioinformatics tools and services is still a bottleneck for both expert and non-expert users. Advancement in providing common interfaces over such tools and services are gaining interest among researchers. However, the lack of (meta-) information about input-output data and parameter prevents to provide automated and standardized solutions, which can assist users in setting the appropriate parameters. These limitations must be resolved especially in the workflow-based solution in order to ease the integration of software. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Turkey | 1 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 20 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 1 | 5% |
| Unknown | 19 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 4 | 20% |
| Researcher | 4 | 20% |
| Student > Ph. D. Student | 4 | 20% |
| Student > Doctoral Student | 2 | 10% |
| Professor | 2 | 10% |
| Other | 4 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 30% |
| Agricultural and Biological Sciences | 4 | 20% |
| Medicine and Dentistry | 3 | 15% |
| Engineering | 2 | 10% |
| Environmental Science | 1 | 5% |
| Other | 4 | 20% |
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 18 July 2023.
All research outputs
#6,314,082
of 23,806,312 outputs
Outputs from BMC Research Notes
#922
of 4,290 outputs
Outputs of similar age
#66,291
of 260,888 outputs
Outputs of similar age from BMC Research Notes
#21
of 128 outputs
Altmetric has tracked 23,806,312 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 4,290 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.8. This one has done well, scoring higher than 78% 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 260,888 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 74% of its contemporaries.
We're also able to compare this research output to 128 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 84% of its contemporaries.